HCI International 2023 Posters

This study presents a literature analysis on ride-hailing services in Indonesia to enhance knowledge of the actions taken by Gojek as a super application in safeguarding user and partner data and to enlighten ride-hailing services efforts in delivering online transportation services with the complexity of ride-hailing services in Indonesia. This study employs a qualitative research method with a descriptive approach; data for this study is derived from digital data in the form of historical records. Gojek delivers features that prioritize data security for users and driver partners that aim to avoid crimes, mainly digital or cybercrime, by providing parts that are also Gojek’s industry-leading selling factors. These findings contribute to the development of research on ride-hailing services, particularly in privacy and security, and serve to address shortcomings previously identified with ride-hailing services.

This study aims to investigate the prevalence of Health Influencers’ Instagram content that could lead to negative impacts on mental health and body image. With the collected Instagram posts and associated metadata of top ranked Health Influencers, we performed content analysis on the most used hashtags, an unsupervised topic model to examine the semantic content and coverage of each theme discussed in the corpus, and an analysis on the audience engagement behavior by topics. Content analysis revealed posts composing of four broad themes: Fitness, Wellness, Self-Promotion, and Cosmetics and Appearance. In addition, well-known brands are prevalent among the hashtags suggesting product promotion is central to health content on Instagram. Topic modeling uncovered Health Influencers’ posts as a mixture of content related to health and wellness as well as other potentially problematic topics (e.g., promoting brands that have spread unhealthy body ideals or associating cosmetic products with being healthy, etc.). We also found promotional posts have higher user engagement rates than non-promotional ones, which in part due to the differential incentives of engagement, and bias in health beliefs or algorithms. Current research suggests a large portion of content produced by Health Influencers likely contain factors that induce body dissatisfaction and other related issues among Instagram users.

This study analyzes how the online media Detik and CNN Indonesia frame the Kanjuruhan tragedy according to their perspectives. The method used in this study is a qualitative method with a framing approach and uses the Nvivo 12 Plus software with chart analysis and word cloud features to analyze the data. Online media portals take sides in framing the media according to their views. Online media portals organize narratives in media content to trigger arguments that develop in society. This research shows that the two media portals have different framing related to the Kanjuruhan tragedy. Detik’s structure is more on the point of view of how this event could have happened. At the same time, CNN Indonesia’s frame is more aligned with the response from the institution responsible for football matches.

This article aims to present the results of digital ethnographic research we conducted within the XR communities, seeking to understand what are the main pains of users of extended reality today, how they see this technology on the rise, and what perceptions they have about the future of the XR.From what we were able to analyze from the data collected in the digital ethnography, we were able to understand that XR technology is constantly evolving, but that it may soon reach a more accessible level within the market.The XR is a great revolutionary promise within several scenarios such as education, health, industry, entertainment, and social, but the current XR technologies have different factors that still need to evolve, from their immature UX within their applications to the strong deficit in their Form Factor. For these reasons they end up hindering the constant use of this technology by users in their daily routines, leaving them to use these devices only in specific activities that don’t require much effort. All these factors make the mass adoption of this technology slower.

This ongoing project investigates both the immediate and long-term effectiveness of the “Fake News” card game, a physical inoculation-based board game to counter disinformation, developed by the DROG group in collaboration with the University of Cambridge Social Decision-Making Lab. This extends previous research using the “Fake News” card game, incorporating a longitudinal element and a wider demographic. A pre-test post-test within-subjects study (N=54) was designed to test participants’ persuasiveness and reliability judgements on fictional ‘fake news’ articles. 7-point Likert scales, as well as a number of qualitative, open-ended questions were delivered before playing the “Fake News” game, immediately after, and 9 weeks after the intervention. Qualitative analysis found participants critically analysing the author and writing style of ‘fake news’ articles with a high frequency and in more detail immediately after the intervention, with a skill fade over the subsequent 9 weeks to the longitudinal post-test. Contrary to this, quantitative testing found a significant decrease in persuasiveness and reliability judgements of ‘fake news’ articles exclusively in the longitudinal post-test. These quantitative results are in contrast to current literature around longitudinal effects of inoculation interventions, and if repeatable this may indicate stimulation of reflective learning in a way that digital gamified inoculation interventions have not achieved.

This study aims to analyze the pattern of discussions created on Twitter among fans about the gender-fluid fashion worn by Harry Styles. Gender-fluid fashion campaigns have become an object of discourse on social media. This issue is related to gender equality campaigns because [1] there are stereotypes and stigma that divide clothing categories based on one’s gender. This study found differences in the acceptance by three informants of the gender-fluid fashion worn by Harry Styles. The Actor-Network Theory confirm the relationship between fans and actants, which influences each other so that a network is created within them.

This study aims to identify Indonesian football supporters’ Digital Movement of Opinion activities through #MataramIsLove using the Social Network Analysis (SNA) method on the social media Twitter from October 8 - October 16, 2022. This research uses a descriptive qualitative method with an analysis WordStat. Based on the study's findings, the supporter movement with the Digital Movement of Opinion activity hashtag #MataramIsLove through Twitter social media is an act of solidarity and peace with a collective and solid mass of supporters against the Kanjuruhan tragedy. This finding argues that Twitter hashtags can become part of the digital movement and media of public aspirations.

There have been many studies on consumer acceptance and perception of autonomous vehicles. In contrast, scant research has been conducted on the user experience of autonomous vehicles. This study explored the user experience of autonomous vehicles and investigates consumer problems and issues related to autonomous vehicles from the consumer perspective. Vehicle users share information and opinions and discuss various vehicle-related topics in online communities. We collected their online posts published between February 2014 and December 2022. Applying LDA topic modeling analysis was conducted as a method for text data analysis. Considering the coherence score and interpretability, we derived five topics. Each of the topics was specified as “Perceived risks,” “Knowledge share,” “Reasons to purchase,” “Arbitrary hardware mounting,” and “Arbitrary software manipulation.” First, consumers are concerned about lane departure and possible accidents. Second, consumers built up knowledge about autonomous driving technology by sharing information on and discussing the technical aspects of autonomous vehicles. Third, long-distance driving or commuting was the primary driver to purchase autonomous vehicles. Fourth, some consumers were active rather than passive in using autonomous driving technology in terms of both hardware and software manipulation. They mounted an auxiliary device to a non-autonomous vehicle and converted it into an autonomous one. They manipulated the default setting of the autonomous deriving system reflecting their own speeding or distancing preferences. Since autonomous vehicles are sensitive and complex structures, arbitrary mounting and manipulation can cause fatal accidents. Guidelines for using autonomous driving technology and legal and administrating measures are necessary for the safe use of autonomous driving technology. Customizing hardware and software which satisfy individual consumers’ need and want may reduce the risk of arbitrary manipulation.

Applying personalized recommendation technology to short video APPs may create information cocoons, where users are exposed to homogeneous information and hardly hear different opinions. Existing studies focus on the negative consequences of information cocoons (e.g., group polarization), few scholars have investigated individuals’ mental mechanism regarding information cocoons, such as their attitudes. We first crawl discussions regarding information cocoons in TikTok from a popular Chinese social media, and conduct a sentiment analysis to identify users’ different attitudes towards information cocoons in short video apps. Thereafter, we adopt the deep learning algorithm model – BERT model to classify users’ attitudes toward information cocoons into three categories: negative (breakthrough attitude), positive (retention attitude) and neutral. This study not only enriches our knowledge on information cocoons and user attitudes, but also provide important practical insights for short video apps’ managers regarding the utilization of personalized recommendation technology.

This research aimed to investigate the dissemination of information about Indonesia’s G20 presidency in 2022, particularly through the social media platform of Twitter (Web.2.0), which allows interaction between the providers and other users. A qualitative methodology was employed with content analysis of social media discussions, specifically Twitter. Furthermore, computer-assisted qualitative data analysis software (CAQDAS) was used, namely NVivo 12 Plus (QSR International, Burlington, Massachusetts, USA), which can generate data for sentiment analysis, top influencers, dominant hashtags, top mentions, and dominant words. The Twitter data were collected during the G20 summit on 15–16 November 2022 using the keywords “#G20Indonesia” and “KTT G20”. The two keywords were selected since they were becoming a trending topic. The results found that using the “KTT G20” keyword, a message on Indonesia’s G20 presidency was widely distributed and received positive sentiment from locals. The use of the hashtag “#G20Indonesia”, the presidency attracted international attention while generating additional negative sentiment.

Understanding people’s emotions is one of the biggest challenges today. From the last decades, the study of emotions has been one of the most emerging research areas from social science to computer science. Indeed, emotions are recognized as a vital element in the relationships between people and computers. Human computer interaction (HCI) is the discipline that deals with the design, evaluation, and implementation of the interaction between people and computing systems. For an adequate interaction between the computer and people, the computer must be able to have some perception of the emotional state of the human being with whom it interacts. The computer be only able to obtain the perception of people emotions through the lexical expressions communicated in his speech. Emotions are present in most forms of communication and can change the meaning of the message transmitted. In this work, we take different Instagram accounts from well-known mass media (CNN, Deutsche Welle among others) to analyze the emotions contained in the representations of women in positions of power. We combine sentiment and content analysis to help you understand sentiment in briefings, including irony and mixed language. Interesting results were obtained to understand the feelings involved in information about women in positions of power.

The purpose of this study is to explain the fundraising movement by the Indonesian army using Twitter for the victims of the Kanjurhan Malang Stadium football supporters tragedy. This study uses a qualitative method. This study uses NVIVO12 Plus to analyze data. The findings of this study The intensity of Twitter use determines the effectiveness in fundraising, as evidenced by the high activity of the Indonesian army on Twitter, which has managed to attract attention. Then, the dominant content distributed by the Indonesian army on Twitter related to fundraising for the Kanjurhan Stadium tragedy was army solidarity. So it can be seen that the dissemination of content coupled with the high intensity of Twitter usage makes fundraising in digital media very effective.

This study intends to investigate the polarizing discourse that has developed on social media before the 2024 elections. This study used a qualitative research method with a descriptive approach, data retrieval in research derived from digital text mining data using WordStat to translate the data clearly by grouping topics, word frequency, and text tweets. The results of this study indicate that political polarization can take on a variety of shapes. The results of the frequency-intensity analysis divide the form of polarization into the fragmentation of support groups. The study shows that the topic produces an identity group based on the condition of the sentiment and issues that develop, and the categorization of tweets produces a form of political polarization that is not only divided into two large patterns but also based on the category that was made. These results contribute to the study of political polarization discourse, particularly in analyzing digital data on social media. They fill a research gap on political polarization in the virtual sphere.

Jodel is a mobile-only application that establishes hyperlocal communities within a 10 km radius. Its hashtag function was analyzed using the survey methodology. Most of the 146 survey participants are from Germany and German-speaking countries, and fit Jodel’s primarily user base. The main results indicate that Jodel’s hashtag functionalities such as searching and indexing is seen as easy to use and somewhat useful. Hashtags are mainly applied to tag humorous content and few participants use hashtags to highlight serious topics. Measured on usage frequency, commenting hashtags and the hashtag retrieval functionality is used the least; clicking on hashtags and using hashtags in posts is performed more frequently. This study highlights that even if the different hashtag functionalities on Jodel are mostly perceived as easy to use and (somewhat) useful, the information content varies. Users agreed that they use hashtags to display the thematic content of a post, resulting in the observation that users are to some extent indexing the content they create. Further, one important aspect is the usage frequency of the hashtag functionalities, since most activities (retrieval, clicking, posting, and commenting) are rarely done daily. Therefore, the context of using hashtags on Jodel may depend on individual needs that are not commonplace.

In this paper, we present a study on the usage patterns and social functions of a mobile app that allows users to exchange and accumulate “Like! Points” with their colleagues in the workplace. User interviews were conducted, and log data were analyzed to identify common uses of the app, such as expressing gratitude, sharing information, and building social connections. The findings of this study can inform the development of similar apps and contribute to the growing body of research on communication and collaboration in the workplace.

Information such as news is ubiquitously obtained through online and social media. However, news is competing with attention from other stimuli such as posts from friends, ads on social media and other content. The cognitive load theory proposes that extraneous load is affected by the number of elements present in a stimulus. The cognitive mediation model posits that cognitive elaboration mediates the relationship between media attention and learning. In this study, we combine the modality effects paradigm of the CLT with the cognitive elaboration model to understand if presentation modality (text only, video only, video with text) and topic (Health- low cognitive load vs. Science- High cognitive load) influences attention, cognitive elaboration, and knowledge. To test our hypotheses and research questions, a 3 × 2 between-subjects experimental design with presentation modality and topic was conducted with N = 152 young adult users of Facebook news. Participants were asked to view a news story while eye-tracking was used to measure users’ visual attention allocation. They were then asked to engage in a thought listing activity to measure elaboration. Lastly, they were presented with a 3-question knowledge check based on the news story they viewed. Our preliminary analyses suggests that attention as measured by fixation count and fixation duration using the eye-tracking device does predict knowledge. We also find some modality effects for knowledge. Analysis for the elaboration variables is underway. We provide implications for social media news design, theoretical implications for cognitive load theory, and applications of eye-tracking technology to triangulate self-report and behavioral data.

Over the last two decades, research on e-Government found that e-government is a strategy to increase the effectiveness of public service policies and programs. Public policy is effective because it encourages citizens and business sectors to access government information 24 h daily. The use of e-government improves government performance in public services through economization and efficiency and reduces transaction costs. The success of e-government depends on the ability of government organizations to integrate data and information across borders. This study examines the Electronic Simple European Network Services (e-SENS) Social Media Analysis for Interoperability on Twitter. E-SENS is a pilot project aimed at facilitating the mobility of citizens. E-SENS will consolidate, improve and extend technical solutions, which will affect the quality of public services. E-SENS covers different aspects of ICT applied in several cross-border electronic use cases in numerous domains such as e-health, e-justice, e-procurement and business setup. This study uses a qualitative research method with a QDAS (Qualitative Data Analysis Software) approach. The data sources in this study came from Twitter (e-SENS). This study indicates that e-SENS on Twitter social media can consolidate, improve, and expand technical solutions to support implementing electronic-based public services by integrating one data. It enables an Interoperability framework for service delivery and communication between administrative authorities, businesses and citizens. This can be seen from the narrative built by e-SENS through Twitter media with digital and service dominance. The results of these findings can be a benchmark for maturity in a government organization for electronic-based and integrated public services.

Social media content can negatively influence body esteem in young women through the idealized forms of physical appearance that are portrayed. A recent social media trend has been a growth in posting images depicting side-by-side posed and un-posed photographs showing a natural self-representation alongside an altered version of the same individual. This study investigated the effects of viewing such ‘before and after’ style social media images on young women’s mood and body dissatisfaction. Participants were 162 young women (aged 17–29 years old) who were randomly allocated to view either 15 idealized (‘fitspiration’) images, 15 ‘before and after’ comparison images, or 15 images which depicted the ‘after’ only component of the same images. Results showed that exposure to ‘before and after’ comparison images led to improved mood and reduced body dissatisfaction in young women, compared to when viewing the ‘after’ only component or fitspiration images. Exposure to fitspiration-style images and ‘after’ only images increased body dissatisfaction and negative mood. This study suggests individuals may process and respond to images differently when viewed side-by-side compared to when the ‘after only’ version of the same image is shown on its own. Further research is needed to investigate the threshold of exposure to ‘before and after’ images embedded within social media needed for viewers to experience protective effects for body image.

Information and communications technology (ICT) has been applied to the mobility industry, enabling the provision of real-time information based on location. This functionality demonstrates an early form of smart city materialization through immediate access to consumer transportation facilities, and contributes to the development of Mobility as a Service (MaaS) based on a user-centric approach. This study aimed to examine the user experience of mobility service apps in Korea. We collected 17,335 consumer reviews of three mobility service apps offered by Kakao Mobility for their taxi, bus, and subway services. These apps provide various additional services affiliated with Kakao Talk, a popular social media messaging app in Korea. We examined the relationship between the characteristics of transportation services using Structural Topic Modeling (STM), which led to the extraction of eleven topics. First, three topics concern the primary purpose of mobility service apps—providing relevant traffic information, such as timetables and estimated times. Second, four topics reflect negative experiences caused by problems related to technical and functional aspects of the apps, such as interface, connection, and update issues. Third, four topics are related to consumer problems with the taxi app, such as cancellations or service refusal. The results of this study confirmed that the failure of the service was noticeable in taxis that provide privacy services according to consumer demand and that functional and technical problems were found in all services. This study contributes to the development of information-based services in a consumer-oriented direction, which is essential in the development of MaaS.

Among YouTube content creators from the Western culture, it is becoming more and more present to upload their YouTube content on the Chinese video-sharing platform Bilibili. YouTubers may adjust their video content and uploading strategies when cross-posting to Bilibili. However, research on the cross-posting behavior of YouTube creators between YouTube and Bilibili is lacking but will give insights into platform-specific practices. In this work-in-progress paper a qualitative content analysis is performed, to compare video content cross-posted from YouTube to Bilibili by the same creators, their uploading behaviors and the utilization of user interface features associated with the videos. Results show adjustments of video content, especially regarding textual elements and outro design. All in all, adjustments to content and platform-exclusive content uploaded are targeted at Chinese viewers, who represent a potentially large audience group on Bilibili with a different cultural background. The present research is an initial step to form a contribution to the literature that seeks to understand the role of culture and platform affordances played in multi-platform content distribution, specifically in the Chinese-Western context.

We know that the security of the physical community is crucial to the quality of human life. Security communities can make people feel privacy protection and physical and mental health. Compared with community security, virtual community security can also affect people's quality of life. Virtual community security via social media refers to the concepts of private security and health security using social media, which enables users to interact securely with each other via social media. With the increasing popularity of virtual community technology, more and more people hope to share and publish their interesting, knowledgeable, and valuable personal life through social media and establish connections with others. Does social media provide virtual community security for users? There are three main threats to posting personal information and talking about your personal life via social media. First, users lack awareness of personal information security when using virtual communities through social media. Second, companies can track, collect, and analyze users' personal information without users' permission. Third, Internet Security Threats. How improving users’ security in the social media virtual community? The findings suggest that increasing awareness of social media hazards and improving safety techniques for virtual communities are key points for designers and developers of social media virtual communities to help maintain user security and enhance the social media user experience. Therefore, I would like to propose two effective protection methods that can increase users' security when using social media virtual communities.

Community charity has a positive impact on the public, but the public's enthusiasm for community charity is not high. Based on SOR theory, this study establishes a research framework to explore the design factors that enhance the stickness of community charity users. Based on a survey of 369 respondents, our research provides significant evidence that feedback timeliness, interactivity, immersion, and pleasure are key factors that influence the stickness of community charity users. In addition, we demonstrate the mediating role of perceived ease of use and perceived emotional value. Enhance community philanthropy by exploring key design factors.

The objective of this research work was to design an electronic government model that promotes citizen participation and the empowerment of digital citizenship in public management, identifying and addressing technological, social and cultural barriers that may limit their access and use in the Peru, based on the theory of modernization. To find out the perception of the exercise of digital citizenship, a sample of 175 users was randomly selected, including 22 public servants and 153 external users from a municipality. In addition, a survey was used for data collection and a Likert-type rating scale was applied to measure digital citizenship and e-government. The results showed that the majority of users had a regular or low level of knowledge about digital citizenship, which indicates a lack of knowledge of the digital environment. Regarding electronic government, a low and regular level was identified, which indicates a deficient provision of electronic services. Consequently, it is concluded that both users and public servants have deficiencies in the use of technologies and a model is proposed that promotes a greater proximity of citizens to the state. In addition, a significant and direct relationship was found between the levels of digital citizenship and electronic government. Therefore, it is necessary to implement a digital transformation policy to improve the efficiency and effectiveness of public services, as well as encourage greater citizen participation in decision-making.

The pandemic caused by Covid -19 teaches us a great lesson that the health sector is not prepared to undergo drastic changes, which leads to a resumption in the conceptualization of the environment. BANI (fragile, anxious, non-linear and incomprehensible) in what describes the reality lived in these times. The general objective of this article is to design a Theoretical Model based on environments (BANI) that favor the experiences of doctors and nurses in decision-making in response to the needs of the patient, based on the electronic medical record, within the framework of the information management. Specific objectives: i) Reveal the experiences in decision-making of doctors and nurses in chaotic contexts; ii) Characterize clinical histories from the experiences of doctors, nurses and patients; iii) Understand and interpret the results of the experiences and processes that doctors and patients went through in BANI contexts, due to Covid-19 when making decisions based on medical records; iv) Determine the axes that support the BANI Model articulated to the management of electronic medical records, within the framework of information management in a hospital in the Lambayeque Region. The design was non-experimental at the basic - interpretive level with a qualitative approach, with a phenomenological - hermeneutic design. The population consisted of health professionals, doctors (3), nurses (3) and patients (2). For the collection of information, the semi-structured interview was used as a technique, and the interview script was also used as an instrument. Interview. It is concluded that the experiences and processes of medical and nursing staff during Covid-19 in a BANI context, occurred in a chaotic environment, making decision-making difficult due to the lack of medical records during emergencies, causing delays in care.., which leads medical and nursing staff to act immediately in the face of crises caused by this changing world.

The use of e-government in the processing of poverty data is very important to concentrate the beneficiaries of social assistance on target. Technology readiness is still an obstacle in the application of e-government in processing poverty data for the distribution of social assistance. Technological knowledge is another gap for the poor in utilizing e-government to get social assistance. This study looked at the response from the public to the readiness of e-government technology in the use of poverty data for social assistance, especially in the Indonesian poverty data application, namely SIKS-NG (Social Welfare Information System-Next Generation). This research uses Nvivo 12 Plus software to analyze qualitative data, which presents cross tab analysis and visual analysis. The stages in using Nvivo have five stages including; data collection, data import, data coding, data classification, and data presentation. The data that Nvivo had processed was then continued for qualitative analysis. The data source was obtained from the Twitter data set. The findings of this study found that the readiness of e-government technology in the use of poverty data for social assistance is still constrained in the aspect of receiving technology for its users, so that e-government in the use of poverty data for social assistance still requires many parties involved in it. In the aspect of technological knowledge, it is also an obstacle so that e-government in the use of poverty data for social assistance in Indonesia is not entirely done electronically / online but there are still conventional ones. This research’s limitation is that this research only discusses the technological readiness form two aspect are Technology knowledge and Technology acceptance. The recommendation for further research is the compatibility of technologies that should also be looked at in the application of e-government to the poor.

Organizational interoperability increases efficiency, improves service delivery to citizens, and facilitates better decision-making. Achieving interoperability requires a holistic approach involving technical solutions, policies, procedures, change management, and the involvement of stakeholders, government officials, and the community. The objective of this research is to explore the interoperability frameworks that organizations use to share information and exchange data in intelligent governance. The involvement of stakeholders, including government officials, community members, and representatives in private sector organizations, has also been explored. This approach uses a multi-criteria decision analysis structure based on AHP (Analytic Hierarchy Process). The Nvivo app is then used to visualize connections and find themes and patterns. Additionally, SmartPLS (Partial Application Least Squares Structural Equation Modeling) is used to analyze comparisons of relations between countries. Key components explored from the interoperability framework include data signatures, exchange of data from one organization to another, data management procedures, data quality, processes business, identity management, and technical infrastructure (hardware, software, and networks that organizations use to share information and exchange data). The results of the study reveal that interoperability frameworks in Indonesia and Malaysia implement smart governance, which is carried out using existing standards and protocols or by adopting new regulations based on the demands of public services. Flexible, adaptive, and actionable framework over time in response to technological and organizational changes. So that the organizational interoperability work structure becomes inclusive and open to the involvement of all stakeholders, including the government, the commercial sector, and citizens. Citizens.

This study aims to analyze the sentiments of the people of West Nusa Tenggara towards the Peduli NTB Application. This study uses a qualitative approach. Sentiment data was taken from the NTB Care website and media, the data taken was public opinion on the NTBCare application and complaints submitted through NTB Care and processed using the NVivo 12 plus software. This study uses sentiment analysis indicators to determine positive, negative and neutral sentiments in the NTB Care application. The result of this research is positive sentimentreached 43%. On average those who give this positive sentiment are people who submit complaints and have been responded to by NTB Care and feel very satisfied with the work that has been done by NTB Care, negative sentiment reaches 14%, and those who give negative sentiment are people. Who are dissatisfied with NTB Care services, as well as people who have raised concerns but have not been responded to by NTB Care, and neutral sentiment has reached 43%, on average people who give neutral sentiment are people who have conveyed or have not given a good response to their performance conducted by NTB Care.

Improving and strengthening cybersecurity in the public sector should represent a top priority for government agencies, including municipalities and regions. To be resilient against cyberattack surges, organizations should consider establishing a cybersecurity program based on international standards and best practices. In this paper we explore the cybersecurity compliance in the Swedish public sector in relation to the best practices and guidelines highlighted in the ISO/IEC 27001A framework. Our findings indicate that the overall security status among the municipalities and regions contained many flaws, with substantial holes and critical issues. ISO/IEC 27001A creates a standardized base, but it is somewhat theoretical and starts with a policy, not providing insights on how to govern information security. Also, most of these "ISO/IEC"-related gaps were found to have been compiled into a single "Technology" domain. Though compliance with standards, best practices, and regulatory requirements can help reduce cyber risks, it does not guarantee that an organization will have strong cybersecurity. To address this issue and assess how well organizations can protect, discern, react, and recover from cyberattacks, an effective method for measuring security performance must be developed.

The accounting and tax management of companies requires the incorporation of information and communication technologies through digital electronic systems to better control and collect taxes. For this reason, the objective of this research was: Determine the relationship between digital electronic systems -SED and business accounting and tax management during confinement by Covid 19. In this context, the results of the research allowed us to demonstrate that there is a significant statistical relationship between digital electronic systems and accounting and tax management in companies during confinement; therefore, it is inferred that the SEDs contributed efficiently in the management of the companies that were part of the investigation.

Bring technology closer to improve services for the population from the public perspective, is one of the most important challenges in national and subnational governments, thus, the main objective of the research was to propose the “face to face” intervention model to optimize citizen security services.at different levels of government basing in information systems on the cloud and artificial intelligence. The purpose of the model called “Face to face” is to optimize and make the public services offered by governments more efficient, since there is currently a wave of citizen insecurity affecting the population as a whole. The “Face to face” model was developed by an interdisciplinary team of professionals based on various pragmatic and theoretical studies as background. It is concluded that the model is adequate to optimize citizen security services through information systems in the cloud with facial biometric recognition supported by artificial intelligence and citizen participation; it is also a model that can be adaptable and replicable at any level of government; it is established that prior to its implementation the legal basis must be regulated as appropriate.

This paper aims to determine the relationship between the use of electronic catalogs on the development of Micro Small and Medium Enterprises (MSMEs), particularly in relation to the procurement of government goods and services. Furthermore, this paper also aims to determine the correlation between the use of electronic catalogs on economic growth. The study in this paper is built with a qualitative approach, using reference data sources from government information media and various mass media and state media news articles on related topics. Based on data analysis various steps have been taken to strengthen efforts to increase the use of domestic products, including digitizing the MSME market and bringing together MSMEs and their beneficiaries, which in this case is the government itself. The digital market was chosen as a transaction space with the consideration that the potential for the digital economy in Indonesia is enormous, competition is more transparent, and will indirectly accelerate the development of digital infrastructure in Indonesia. Procurement of domestic products through electronic catalogs will massively have an impact on the development of MSMEs, starting from increasing transaction values, and expanding markets, as well as increasing capabilities and knowledge of the use of digital media in promotions and transactions. The improvement and development of MSMEs will ultimately have a positive influence on economic growth, which is triggered by an increase in the number of jobs and an increase in the amount of investment both in the region and nationally.

This study aims to analyze the Innovation of Malaysian and Indian government policy for bridging the digital divide. The researcher used a qualitative descriptive approach. Data source from the official websites of Malaysia and India, news, other related documents and processed using the NVivo 12 Plus software. Researchers used Van Dijk's theory of Digital Divide Phase. The indicators are Digital Infrastructure, Digital Skill, Digital Usage. The findings of this study indicate that there are differences in Malaysian and Indian policies in reducing the digital divide. Digital infrastructure policy in Malaysia got the highest percentage reaching 40%. The government has intensified efforts to provide broadband and faster internet. The percentage of Digital Skill and Digital Usage is 30% each, through ICT training, digital literacy curriculum and promoting E-commerce and E-wallet to increase Digital Usage. Indian Government also taking more efforts in improving digital infrastructure with a percentage of 38.89% through the development of broadband and cheaper smartphone costs. India also focuses on Digital Skills with a percentage of 33.33% through training and online learning platforms. The lowest percentage is Digital Used around 27.78% through electronic service policies. Malaysian innovation policy is having an impact on ICT knowledge capabilities and more people used e-government service. While the impact has not been felt significantly in India, many people have not participated in training program and have not used the e-services provided by the government.

For which the general objective is: Propose a digital government management model for the modernization of electronic services in a district municipality of Chiclayo; To achieve this objective, it is necessary to develop the specific objectives a) Identify the level of modernization of electronic services in a district municipality of Chiclayo, through the use of a questionnaire; b) develop the methodological and theoretical foundation that supports the digital government management proposal for the modernization of electronic services in a district municipality of Chiclayo; c) design a digital government management model for the modernization of electronic services in a district municipality of Chiclayo; In such a way that the formulated working hypothesis is: If a digital government management model is designed and implemented, then the electronic services of a district municipality of Chiclayo would be modernized by the year 2022. In the results: The level of modernization of electronic services in a district municipality of Chiclayo was determined, according to the opinion of internal and external users, finding that the majority homogeneously distribute their responses of level of satisfaction in low satisfaction in the first place, followed by medium satisfaction, with a small proportion having a high level of satisfaction.

This study compares the analysis of human resources in Sorong City and regional apparatus organizations in supporting electronic-based public services. In the current era of digitalization, all sectors have developed rapidly, and in their application, they take advantage of technological advances to run more effectively, efficiently, and accountably, one of which is the process of providing public services. The administration of public services is one way for the government to fulfill citizens’ rights. Therefore, the quality of human resources is one element that plays an important role in achieving the success of a system implemented by central and regional government agencies. This study uses a qualitative descriptive approach with data analysis using the Nvivo 12 Plus application by taking samples on the DPMPTSP website, the BKPSDM website, and the Sorong City DISKOMINFO website. The results of the study show that the analysis of human resources in Sorong City regional apparatus organizations in supporting electronic-based public services using the E-Government theory from Dwievdi (2017) has four indicators: (1) leadership; (2) human resources; and (3) technology information. On the basis of these three indicators and the author's findings on the analysis of human resources in Sorong City regional apparatus organizations supporting electronic-based public services, the Sorong City Government has been able to implement e-government, as supported by the data analysis contained in Sorong City local government agencies. The main objective of this study is to analyze the human resources in the Sorong City regional apparatus organization supporting electronic-based public services. As a result, strong trust is required, and additional assistance is provided in relation to the development of HR human resources in areas of interest, first from decision makers, so that it can be implemented in a real and optimal manner.

This study aims to analyze social media for public information of health services in DKI Jakarta through @dinkesJKT accounts. Through social media accounts, @dinkesJKT all data and information related to health programs are available and accessible to the public. Through social media accounts, @dinkesJKT all data and information related to health programs are available and accessible to the public. The method used in this study is qualitative using Computer Assigned Qualitative Data Software (CAQDS) analysis, namely Nvivo 12plus. Data sources are obtained from secondary data @dinkesJKT which includes mass media data as well as other related documents. The data is displayed in the form of Crosstab analysis, Chart Analysis, and Cluster Analysis. The results showed that the @dinkesJKT account is active in conducting communication and information transactions up to date in each health service. Health information services are also carried out by optimizing every matter of health care and monitoring account postings. Then, @dinkesJKT collaborates with government institutions Regional Apparatus Organizations (OPD), and Non-Governmental Organizations (NGOs). In addition, @dinkesJKT attracts public engagement to participate in health programs.

To ensure digital independency, the European program Gaia-X pursues the goal to provide the public sector a secure cloud with open source applications, data and services for a digital workplace [1].Which applications, data and services are needed and useful for a digital sovereign workplace for public employees? This paper presents the preliminary results of the Gaia-X POSSIBLE project and its contextual interviews with public administrative employees conducted in fall 2022, investigating their needs in regard to the Phoenix office suite by Dataport and the digital workplace beyond. Within the Gaia-X POSSIBLE project, according to our knowledge, for the first time public administration employees were involved in user research. To facilitate implementation of the study and within the given scope, in this first round, public administrative employees at state and municipality level in Schleswig-Holstein (Northern Germany) were targeted. These two target groups were supplemented by a third target group, namely students of Public Administration at the University of Applied Sciences for Public Administration and Services. We aimed at 5–20 participants per target group. In total, 32 contextual interviews were conducted. The contextual interviews were evaluated on the basis of a qualitative content analysis according to Mayring [11]. The 5 most essential office applications were e-mail, calendar, word processing, video conferencing and a shared document management system. In addition, an e-file application, telephony and PDF processing were rated as most useful, supplemented by notes, project management and other creativity and collaborative applications. For further studies, we suggest to extend the target group to other federal states, the federal government and other European countries. Quantitative analytics and/or surveys could provide reliable information on user numbers of office, specialist applications and data services. Also, usability studies focused on each single application would deliver more details.

This study aims to analyze the current development of e-government in Indonesia, the obstacles in its implementation, and how digital government is transformed. The government's current challenge is to make the most of technology to improve public services and government administration. This study uses qualitative research with a literature study approach. The data sources in this study were taken from secondary data via, Focus Group Discussion conducted by the Ministry of Home Affairs Research and Development in May 2019 to identify e-government obstacle factors, an e-government survey published by the United Nations and an E-government Evaluation issued by the Indonesian Ministry of Apparatus Empowerment and Bureaucratic Reform. The data obtained were analyzed using descriptive analysis techniques. Studies show that the development of e-government in Indonesia has not been maximized compared to other ASEAN countries. The E-government index in government institutions is not evenly distributed. There is a gap between the e-government index and the central institution and a gap between the Provincial and District/City Governments. The inhibiting factors of e-government are (1) Inadequate regulations to encourage and guide e-government, (2) Lack of data integration; (3) Gaps in the availability of ICT infrastructure between regions; (4) Limited competence in the field of ICT and (5) Bureaucratic culture and leadership. The development of e-government in Indonesia has not been maximized. The survey, which is published every two years, ranks the 193 member states of the United Nations (UN). There are three performance dimensions measured in EGDI, including the Online Service Index (OSI), Telecommunication Infrastructure Index (TII), and Human Capital Index (HCI). Indonesia's e-government does not rank low in this index. Indonesia's EGDI rating has increased from 107 in 2018 to 88 in 2020. Several factors hinder the implementation of e-government in Indonesia. Explicitly, e-government regulations and policies are considered slow in responding to the dynamics of ICT development and people's need for digital services. Another crucial problem in e-government implementation is the lack of data integration; e-government regulations and policies are considered slow in responding to the dynamics of ICT development and the public's need for digital services. Another crucial problem in e-government implementation is the lack of data integration; e-government regulations and policies are considered slow in responding to the dynamics of ICT development and the public's need for digital services.

This study aims to analyze the quality of the SP4N-LAPOR E-Government-Based Public Service Application. Researchers use a qualitative descriptive approach. Researchers used the E-GovQual indicator. There are several indicators namely Ease of Use, Trust, Reliability, content and display of information, and citizen support. Data sources from the Website, SP4N-LAPOR Application, and News, the data obtained is processed using Nvivo 12plus software. The data displayed in the form of crosstab analysis and wordcloud analysis are then presented descriptively as a result of SP4N-LAPOR quality observations. The finding of this study is that SP4N-LAPOR has been able to improve the quality of public services in the field of information and complaint reports. This is shown by the ease of use of SP4N-LAPOR received a positive response to ease of use of 78.25%, quick response of 72.79%, and transparency of 71.7%, the number of positive comments was more than negative comments. Trust in SP4N-LAPOR has increased over the past 4 years. In 2017 the number of users was 661,905, in 2018 it was 766,237, in 2019 it was 953,921 users and in 2020 it was 1,145,944 users. Third, the reliability of SP4N-LAPOR is accurate from the managing admin in serving and responding to complaint reports. Content and display make it easier for the public to choose the type of report to create. Finally, citizen support. SP4N-LAPOR provides useful features to protect user confidentiality and personal information when reviewing the reporting process. The features provided are anonymous, secret, and tracking ID features.

This study aims to analyze the quality of mobile Government services on the PeduliLindungi application to combat the COVID-19 pandemic in Indonesia. The PeduliLindungi application is a mobile-based Government service in Indonesia that provides health services in combating the COVID-19 pandemic. The research method used in this study is descriptive qualitative by utilizing the N-Vivo 12plus in processing research data. The data sources of this study were obtained from the journal literature studies, the PeduliLindungi application, the website PeduliLindungi, online media, and the play store. This study uses four indicators of Service Quality for Mobile Government (SQ mGov) in analyzing the quality of mobile Government services based on indicators of Connectivity, Interactivity, Authenticity, and Understandability. The results that the quality of mobile Government services on the PeduliLindungi Applications is not yet optimal. This is based on the results of the analysis of the four Service Quality for Mobile Government (SQ mGov) indicators. The results of data processing from the connectivity indicator, the PeduliLindungi application, received 11%, the interactivity indicator received 12%, the authenticity indicator received 54% and understandability received 21%. The PeduliLindungi application is a form of mobile-based Government service that aims to make it easier for the community to get health services in handling the COVID-19 pandemic in Indonesia. However, in implementing these services, the Government needs to pay attention to the quality of services of the PeduliLindungi application so that the objectives of implementing mobile Government are achieved, and the benefits can be felt maximally by the community of Indonesia.

This paper explores the relationship between the quality of digital services and the credibility of the government, summarizes the influencing mechanisms involved, and establishes a more complete set of influencing factor models. Based on stimulus-response theory (SOR), the model comprehensively summarizes the factors determining the quality of digital services in four aspects: service efficiency, personalized demand, social interaction, and service transparency. This study will explore the influencing factors of digital service quality and the relationship between public satisfaction with digital services and government credibility. The model is well adapted to support subjects providing digital services to access the real needs of the public through big data technology and further optimize digital services.

The use of web pages as a means of communication with customers has transformed online consumer interaction. The opportunities offered by technology and the challenges it brings to the marketplace are different for online consumers, as strategies to meet their needs must be identified based on their behavior on the website. In this context, the study seeks to determine if the websites of two financial institutions located on the border of Ecuador and Colombia present significant differences for clients, both in their presentation and in their ease of access. Through a survey (N = 96) the digital marketing strategies used were evaluated. The results show that a higher percentage (68.8%) accesses the websites through mobile devices and the age range is concentrated in the 25 to 34-year-old segment. However, the statistical tests show that there are no significant differences in the two websites analyzed, this shows that customers do not find a difference between the two institutions, which could reduce the perceived value and customer satisfaction.

The internet has contributed with the development of various economic sectors, one of the most important is the sale of products and services. This research aims to present two types of sales, that can be done online and through the use of social media, which can favor businesses in their growth. The objective of this work is to carry out an analysis of the sales that are made through social media and those made through a mobile application. The development of the mobile application was produced using Android Studio with its Kotlin language in conjunction with the MySql database manager. The methodology has been of a qualitative type, with data obtained through surveys carried out with the clients of the business that were the object of the initial study. Considerable results could be obtained in social media, since its development is easier and less expensive than developing your own mobile application for the business. Finally, surveys were carried out on the participating people to measure the level of acceptance of the tools used in the commercialization of the products, in results a summary of the acceptance per question is shown, with an average acceptance of 3.16/ 5 for the mobile application and 4.5/5 for the social network used to sell the products.

The results from the study show that it is the combination of the needs of an individual that determines WHETHER and HOW the product is used in the supermarket context. Because if the product is great, people with the need for connectedness & sense of community (high subjective prioritization) would be more likely to refrain from using the device (tablet while shopping) because it has an isolating effect on them to maintain contact with the people around, knowing that there are features on the tablet that would help you shop. Users with high subjective prioritization of needs such as stimulation and or competence, are more inclined to be stimulated by offers and recipes and keep track of the supermarket through the device and thus are more likely to enjoy using it and exploring the menu navigation.We have created the profiles of the customers on this basis in order to work precisely with the customer needs. Thus, the target group of users can be better enclosed in the aforementioned context, and the aspect of acceptance of the application is increased by the profiles and its understanding of customer needs.

This paper examines how health and fitness content creators use personal branding factors when planning short-form video content to engage and strengthen relationships with followers on TikTok. The study was conducted using a quantitative content analysis technique to analyze aspects that form a creator’s brand awareness, including technical aspects of the video, authenticity traits, content themes, and message strategies. Authors were also interested in examining how personal branding factors impact engagement (e.g., views, likes, comments, and shares). One hundred eighty videos from six TikTok content creators (three accounts about Fitness and three in Wellness/Nutrition) posted in 2021 were examined. Results showed personal brand awareness aspects like text/captions and hashtags were widely used when planning technical aspects of the video that reinforce brand communication. Music and text speech were also used frequently. Other elements, such as authentic traits of communication, were vital to employ. For instance, when a content creator was making an action on the video (like showing their fitness routine), music and captions were also included, promoting relatable content among their followers. Personal brand awareness also includes carefully selecting topics/themes for communication. The most common video topic among health and fitness creators was assisting/advising their followers, such as, how to use a product or service or providing emotional support. Lastly, the most used message strategies that helped to reinforce the topic were building connections and relationships.

This study analyzes the effect of Electronic Word of Mouth, Perceived Quality, and Perceived Price on Purchase Intention through Brand Image on Roughneck 1991 products in Yogyakarta. The subjects in this study were consumers or customers of local fashion products who live in Yogyakarta. In this study, 232 respondents became samples and were collected using a non-probability sampling method with a purposive sampling technique. The analysis tool used was SEM analysis with AMOS software. Based on the analysis, the results showed that Electronic Word of Mouth had a positive and significant effect on Brand Image, Perceived Quality had a positive and significant effect on Brand Image, Perceived Price had a positive and significant effect on Brand Image, Electronic Word of Mouth had a positive and significant effect on Purchase Intention, Perceived Quality had a positive and significant effect on Purchase Intention, Price Perception had a positive and significant effect on Purchase Intention, Brand Image had a positive and significant effect on Purchase Intention, Electronic Word of Mouth had an indirect effect on Purchase Intention which was mediated by Brand Image, Perceived Quality had an indirect effect on Purchase Intention which was mediated by Brand Image. Perceived price indirectly affected Purchase Intention, which was mediated by Brand Image.

As people pay more attention to gift packaging, excessive packaging of festival gifts causes environmental pollution and waste of resources. Green packaging is very beneficial to environmental protection and sustainable development, and it is of great significance to increase consumers’ willingness to accept green packaging. Therefore, exploring how to make consumers more willing to accept green packaging in festival gifts is important. Based on the investigation of green packaging in festival gifts, the article summarizes and analyzes the factors that affect consumers’ willingness to accept, establishes a model of factors affecting the willingness to accept green packaging, and uses PLS3.0 software to verify. The study’s results found that the ease of use and usefulness of green packaging positively impact consumers’ willingness to accept, and consumers’ ecological values will indirectly affect their willingness to accept green festival gift packaging. Consumers strongly perceive the usefulness and ease of use of gift packaging, and their ecological values play an essential role in their acceptance of green packaging. Therefore, making consumers aware of the environmental problems caused by festival gift packaging and making green packaging more convenient to use can better promote the development of green packaging in festival gifts.

To solve the problems that the existing live broadcast interface of agricultural product (LBIAP) can’t meet the diverse needs of users, the demand elements of LBIAP were analyzed from several dimensions, so as to provide reference for the design of LBIAP. Firstly, a questionnaire survey was conducted to collect users’ demand elements for the LBIAP. Next, experts determine the importance of each demand element through the 5-level scale. Then, factor analysis (FA) is used to reduce the dimension of the evaluation information of each demand element and construct a hierarchical model of demand evaluation indicators for LBIAP. Furthermore, the weights of extracted factors can also be obtained by FA. Secondly, the objective weights of each demand indicators are obtained by the CRITIC method. Combined with the both weights, the final weights are obtained. Then, the final importance of demand evaluation of the LBIAP is analyzed combining the current situation. Finally the results show that the demand elements of LBIAP are represented by four dimensions: usability, standardization, interaction and communication, and activity attraction. Moreover, the simplicity and standardization of the demand elements of the LBIAP are the basis. And the elements of interactive and communication and activity attraction are the key to improve the LBIAP. The combination of the factor analysis method and the CRITIC method can systematically analyze users’ multi-dimensional demands for the LBIAP, providing new design ideas for the LBIAP.

This study analyzes the influence of electronic word of mouth on purchase intention through brand image as a mediator. The sample and respondents in this study were 151 Bukalapak.com consumers. Sampling was done by purposive sampling technique. Data analysis was performed using Structural Equation Modeling (SEM) analysis with the AMOS program. Based on analysis: 1) Electronic word of mouth had a significant effect on purchase intention at Bukalapak.com, 2) Electronic word of mouth had a significant effect on brand image on Bukalapak.com, 3) Brand image had a significant effect on purchase intention at Bukalapak.com, 4) Brand image did not act as a mediating effect of electronic word of mouth on purchase intention at Bukalapak.com.

This study aims to explain the Indonesian Government’s use of Twitter social media in promoting Tourism After the COVID-19 Pandemic. This research uses qualitative methods. This study used NVIVO 12 Plus to analyze data. The findings of this study Twitter, one of the technological facilities used by the Indonesian Government to promote tourism after the COVID-19 pandemic, is running effectively. However, the @pesonaindonesia account is more dominant in spreading Indonesian tourism promotional content than the @wonderfulid accounts. The tourism promotion narrative spread by the two versions is related to Indonesia’s readiness to receive domestic and foreign tourists. Then, the @pesonaindonesia account has a high intensity in promoting on Twitter social media compared to @wonderfulid. Government figures dominate actors in promoting Indonesian tourism on the @pesonaindonesia Twitter account. Meanwhile, the Twitter account @wonderfulid is dominated by international tourism zorganization accounts.

Introduction: The study evaluates the potential for responsible consumption of agroecological products in Madre Tierra fairs, in the D.M. of Quito-Ecuador, its impact on food security and the recognition of agroecological products in the region. Objective: To evaluate the promotion of responsible consumption and the adoption of business models that integrate technology and digital marketing strategies. Method: A descriptive qualitative-quantitative approach is used, through participatory research that evaluated the profile of the agroecological food consumer. An ecosystem is built with actors that contribute to the strategies and strengthen characteristics of a resilient environment for the improvement of accessibility to agroecological products. Results: The study shows that final consumers, who source their food from agroecological fairs, play a crucial role in their diet. Most consumers are women (62%), are between 31 and 50 years old and spend an average of 20 USD in family units of 4 people. In addition, 60% of the respondents are not aware of toxic-free foods and only 22% consume adequately. The surveys were conducted in four different locations in La Mena. Conclusion: Finally, the Madre Tierra fairs promoted responsible consumption through consumer characterization, training, new business models for associative enterprises and digital marketing strategies. In addition, the integration of stakeholder information and the improvement of responsible consumption through social construction projects were promoted.

This paper discusses the mechanism of the role of the active behavior of customer service robots in the pre-sale consultation scenario in the consumer purchase process. Based on SOR theory, this paper constructs a model of the influence of customer service robot active behavior on consumers’ purchase intention. The model comprehensively analyzes the influence of customer service robot active behavior in four stages: induced demand, collect information, comparison and selection, and purchase decision. The model provides holistic and systematic support for maximizing the utility of customer service bots’ proactive behavior and can help e-commerce platforms to optimize and improve customer service bots.

Crowdsourcing platforms are Internet-enabled systems that bring together service providers and buyers to source ideas from the crowd. Service providers compete in bidding price and bidding duration to stand out from numerous competitors to win the chance to fulfill buyer’s tasks. Therefore, it is vital for service providers to understand buyer’s preferences from limited task description, in order to adopt the optimal bidding strategy to match buyer’s needs in the hyper-competitive crowdsourcing marketplace. Based on vertical preference theory from the auction field, this study attempts to explore how buyer’s hidden preference disclosure affects bidding strategy of service providers. A large-scale empirical dataset was collected from epwk.com, containing a total of 9685 tasks and 52791 bids. Using BERT to extract buyer’s preferences from task descriptions and OLS regression to perform data analysis, the results show that: (1) Buyer’s price preference significantly reduces service providers’ bidding price but not bidding duration; (2) Buyer’s duration preference has a significant positive impact on bidding price and a significant negative impact on bidding duration. This study offers a new perspective for the research in the field of crowdsourcing, as well as provides profound practical implications for buyers, service providers, and crowdsourcing marketplace.

This research focuses on the Xiaohongshu platform and explores which green product advertising can have a greater impact on consumers’ green purchasing behaviour, to explore optimized green advertising strategies. Based on the theoretical foundations of constrained behaviour theory (CLT), signal transduction theory, the theory of consumption values, and other theoretical foundations, the model uses relevant mediating factors to connect the path between green product advertising strategy and green purchase intention. This model provides new theoretical support for the antecedent path of consumers’ green purchasing behaviour, and at the same time provides reference significance for the promotion of green products on the green emerging social e-commerce platform taking Xiaohongshu as an example.

This study aims to analyze and determine the effect of perceived convenience and service quality on trust and repurchase intention. The object of this research is Shopee e-commerce, while the subject is Shopee users in Bantul. This data collection technique used purposive and non-probability sampling with a total sample of 184 respondents. Data were obtained through questionnaires distributed directly to respondents using Google Forms. The data analysis technique used SEM with the AMOS application version 21.00. Based on the analysis, perceived convenience had no effect on trust, perceived service quality had a positive and significant impact on trust, trust had no effect on repurchase intention, perceived convenience had a positive and significant effect on repurchase intention, perceived service quality had a positive effect and significant to repurchase intention, trust could not mediate the effect of perceived convenience on consumer repurchase intention, trust could not mediate the effect of perceived service quality on consumer repurchase intention.

Labor costs continue to rise, and many companies are unwilling to hire too many human customer service personnel. Driven by market demand, intelligent customer service robots emerged as the times require. Intelligent customer service robots can help companies reduce employment costs and improve user efficiency. However, compared with intelligent customer service robots, more users still prefer to communicate with human customer service. Intelligent customer service robots are beginning to become anthropomorphic, adding a touch of humanity, but at the same time may lead to increased user anger. Items that don’t meet expectations are a common occurrence in online shopping, and they often lead to angry consumers. In the above scenario, based on the Technology Acceptance Model combined with existing theoretical literature, this paper constructs a consumer satisfaction model with perceived usefulness, perceived ease of use, and perceived social presence as dependent variables and perceived value as an intermediary variable. Influencing factor model. This model explores the impact of anthropomorphic intelligent customer service on the satisfaction of angry consumers in the above scenarios. At the same time, we also propose strategies for enterprises to improve consumer satisfaction.

Remote sensing offers the potential to provide up-to-date information on changes in forestry areas over large areas. Its application makes it possible to make assessments related to land use change. This research aims to assess whether land change using remote sensing can provide an efficient alternative, both in terms of cost and time, including improving forest governance policy support. Remote sensing and forest governance are state-of-the-art in this research for the development of knowledge from in-depth data analysis. This study was conducted in Bengkalis-Riau Province, Indonesia because, the regency has become the most vulnerable region for forest fires since 2013 and the province has experienced growing pressure from an expanding palm oil industry. It has the largest tropical peatland area and palm oil plantation in Indonesia. The use of remote sensing data methods improved the sensitivity of detecting classified forest cover, providing a better understanding of changes that are usually difficult to map, including fires, smallholders and industrial scale of agricultural areas, peatland cover, wetlands, and barren forest land. Both smallholder and industrial agricultural areas are also better detected. The result from Sentinel data indicate forest, and land cover changes after evaluation, which focuses on the spatial, spectral, and temporal resolution of the imagery. The cover of land use change generated by remote sensing data shows the classification of land conditions in the study area, ranging from cultivated land, bare soil, forestry, oil palm plantations, and peatlands within the plantation area. Integration of artificial intelligence will be further explored.

This work presents a human-machine integration approach, which is an autonomous control system that integrates the traditional expert-oriented strategy and intelligent sensor based data-driven strategy. This system offers effective solutions that are able to further improve the energy efficiency and decrease the energy consumption of heating, ventilation and air-conditioning (HVAC) system.In previous study, it concludes that energy efficient HVAC systems could be obtained by making strategic use and well-structured combination of the existing air conditioning technologies. However, HVAC also have intricate and complex structures that consist of air handler, terminal unit, duct system, compressor, thermostat, etc. Traditionally, the well-tuned proportional-integral-derivative (PID) controller could have well performance around normal working points but its tolerance to variations of process parameter would be seriously affected when the uncertainty is introduced to the environment due to short/long term weather changes from outdoors or events/activities happens indoors. The autonomous system is a novel approach that aims to include all three characteristics of Industry 5.0 (i.e., sustainability, resilience and human-centricity). The system integrated commercialize wind sensor as data collection set which are being widely deploy throughout the HVAC environment. By accessing the detail wind flow data in the HVAC environment, a control model could be used to optimize the air handling unit (AHU) output according to the real-time environment, which enhance the performance on energy conservation.

This research develops an autonomous system with cyber-physical integrating features on public utility that has potential to stand uncertainty and provide both resilience and sustainability. Funded by National Science and Technology Council (Taiwan) which are promoting collaboration between academic and industry, this research is enabled to transplant the research result on chemical fiber factory. By working with the experts on site, the autonomous system takes the human-centric approach to solve the need of the industry. The developed system collects machine data on public utility (i.e., heating, ventilation and air-conditioning (HVAC), air handling unit (AHU), chiller, boiler, cooling tower and solar powered street light) with both self-made sensor and commercialized sensor, and display them on a panoramic view monitoring system in real-time. The system uses AI approach to model and control energy consumption of the public utility while utilizing hyperparameter optimization features to decrease the model training time cost. Finally, the workers’ safety is also insured by analyzing the movement of workers on site and it would set off alarm if any potentially dangerous behavior was detected.In the early stage of the project, each of the techniques above was developed separately and focused on only part of the public utility; each technique will be integrated afterward. For example, the data collection from self-made sensor and commercialized sensor are tested in HVAC system. Based on the existing solar panel data, hyperparameter optimization is being studied. The worker safety detection is used for indoor closed-circuit television (CCTV) setup around the AHU, air duct and the surrounding of production line. This paper presents the main structure of this autonomous system and general view of each technique.

In the process of accelerating urbanization in China, complex social problems have forced urban and rural design to adopt a broader response strategy, and design methods generally focus on the abstract category dominated by relational design, and lack of design research from the environmental ontology, resulting in a disconnect between design and physical space. Based on the ontology of urban and rural environment, this paper takes industrial site transformation, old city renewal and rural construction as examples, uses observations, fieldwork and case studies methods to observe and study the current situation of space, and takes field evolution, artificial construction and natural integration as the starting point, trying to explore the organic order contained in the environment, so as to put forward the possibility of organic design methods for solving complex social and technical system problems. It is found that the organic order in the environment has the characteristics of adaptability, coherence, coordination and symbiosis, which can better deal with many complex problems within the social system, provide basic basis and relevant ideas, form a more flexible and diversified design method, and help urban and rural transformation.

Flexible sensors are relevant tools for progress assessment and rehabilitation in healthcare; however, traditional medical equipment is usually tethered to machines that require dedicated personnel. The development of newer materials is making some flexible sensors accessible. Additive manufacturing, better known as 3D printing, is helping to lower the barrier to building such systems with specialized filaments. This makes it possible to design human-computer interaction approaches outside healthcare environments. Still, such systems must be powered by the grid or battery sources. Power consumption tends to be related to physical size, and thanks to the miniaturization of electronics, the trend moves towards lower power requirements. This work explores the power requirements of flexible 3D-printed sensors to evaluate the possibility of employing energy generators to complement, reduce, or eliminate batteries. A sensor was manufactured using an electrically conductive flexible filament and was found to require up to 50 µW. An energy generator composed of two-coil layers and a permanent magnet rotor was designed and tested for power generation. Voltages up to 1 V and power generation up to 12 mW were measured when evaluating the design at a constant speed. Further work needs to be developed to optimize the generator for portable applications.

In this paper, we present a front-end User Interface for a secure Internet of Things platform that provides management features as a service on top of heterogeneous Internet of Things ecosystems. The proposed platform is capable of monitoring all the connected devices at various levels, such as remaining energy, uptime, network statistics, quality connection, routing protocol statistics, software bugs, maximum bandwidth, and communication delay.

Human activity data from cameras and sensors have potential applications in diverse domains. However, annotation quality varies, and label inconsistency remains a challenge. Annotators’ different interpretations also cause other issues. In this paper, we proposed an approach for analyzing the annotation quality for videos of human activities focusing on annotation issues. Specifically, we annotated the same videos using different strategies: (1) fine temporal granularity using primitive action ontology vocabularies and (2) coarse temporal granularity focusing on meaningful action sequences. We then constructed knowledge graphs based on the annotated data and analyzed the relationship between annotation types and noise label tendencies. The results of this study could potentially support the construction of high-quality annotated datasets necessary for understanding human activities in various scenes, from daily life to service operations.

The dynamic production of green energy requires capable mediate storage solutions, often in the form of large batteries. Here, a Vanadium Redox Flow Battery is used to collect solar panels’ energy and, later, power electric vehicles. Since the balance of the chemical liquids inside the battery can change over multiple loading cycles, a system for predictive monitoring is needed. This paper presents the project “hILDe - Novel, cost-effective and highly accurate indication of imbalance and state of charge of vanadium redox flow batteries using AI-assisted detection of specific colors”, which features an absorbance sensor for chemical liquids and an AI-empowered monitoring system to interpret and predict sensory data. The current progress in our lab scenario suggests that the deployment of our sensor and monitoring system enables an accurate and cost-efficient imbalance and state of charge sensor for Vanadium Redox Flow Batteries. In the future, the system will be tested in full-sized batteries to verify its scalability and commercial potential.

In Japan rural area conventional public transport does not meet the needs of non-driving population, especially the elderly. To solve this problem, it is essential to obtain precise mobility data. Mobility data refers to measurements of the movements of individuals, including where they come from and where they go, as well as how long they stay at their destinations. However, for privacy reasons, in many cases, projects that measure mobility data do not aim to track specific individuals; instead, they simply describe how many people are present within a larger geographic area during a specific time frame. In addition to that, it is expensive to obtain precise measurements for an entire area. Therefore, this study proposed a method to estimate an area-wide probability model of mobility from precise but limited data. The proposed method generates the origin and destination of a trip in the following two steps. First, the starting point is generated from population density distribution. Next, a conditional probability distribution for the destination at the starting point is derived from the mobility data in the vicinity of the starting point, and the destination is generated. In a concrete manner, the destination is generated by resampling the destination of the mobility data nearby the starting point. The proposed method was demonstrated with GPS mobility data of 106 people. Using the proposed method with geographical distributions of several factor such as population, commercial and public facilities and more mobility data with attributes, more precise area-wide mobility models would be derived.

The German energy transition confronts the operators of low-voltage grids with new challenges. Local energy producers or large consumers, like, e.g., solar panels, heat pumps, and e-mobility lead to unexpected grid behavior. Because current grids are only sparsely monitored, local unmonitored overloads or violations of the voltage range are possible. To overcome these difficulties a smart monitoring and prediction system is needed. The system must handle different data sources fast and efficiently, so the operators can react to local grid problems. This is solved by using a streaming service to aggregate the data efficiently. Then, the implemented data pipeline is used to train AI-based models to interpolate the unmeasured parts of the grid. These models consider both measured data and predictions, like load profiles and photovoltaic forecasts. Since the grid is not fully observed, a data generator that physically simulates detailed grid scenarios is used to generate large sets of training data. Finally, an interactive GUI is implemented to visualize the data monitoring and predictions in the context of the grid and thus strengthen the user’s trust in the system. The presented assistance system is developed in close cooperation with energy experts and grid operators.

Artificial Intelligence (AI) and Augmented Reality (AR) techniques have been used by many researchers to improve waste management and promote sustainability. However, waste classification can be complex and confusing for people due to the signs and info-graphics on trash bins may not always be comprehensive. To address this issue, we designed an interactive mobile AR application that detects wastes and provides instant feedback to users on waste sorting. A user study was also conducted, and the results showed that users achieved higher garbage sorting accuracy and their knowledge on recycling was also improved, particularly in discarding complex items. The application also included learning features on sustainability, such as daily recycling tips, waste dictionary, carbon emission estimator, carbon footprint tracer, and carbon footprint data visualization. Our research demonstrated the potential of using immersive educational technology for a sustainable living.

In recent years, with the development of digital information technology and the combination of architectural design field and other fields, architectural design methods and processes are constantly changing, and architectural generative design methods appear. Building generation design is a self-generated design of building space units based on different complex models and algorithm logic. Among them, the main function of computers is to calculate and screen, and to visualize complex and abstract problems. By designing related programs and algorithms, the optimal solution is sought in different constraints. As a new social group, youth groups have many inconveniences at the beginning of community life, and we lack of community architecture research for this group. This paper puts the Transition Design theory into a conceptual youth community architecture scheme, and tries to solve the problems of optimal path, architectural modeling and spatial layout in the scheme by combining theory with digitization, so as to provide thinking and reference for the design of digital youth community architecture.

Human impact in forests and natural protected areas seems to be a consequence of the lack of environmental awareness of visitors and the population who live nearby areas [1]. This paper presents the process of analysis to determine which tool or digital platform would be useful to promote information related to conservation of natural areas, to achieve this, different elements and moments of the process of communication are considered to identify key points to study the media as a possible digital output in order to assess their effectiveness. Three possible digital outputs are considered: visual identifiers, such as augmented reality elements linked through a mobile application; electronic devices such as NFC's or an off-site installation. The project seeks to develop a communicational process that facilitates ecologically responsible behavior, through useful informative content that promotes the appropriation of the space, based on the understanding of the motivations of the users and their behaviors. In order to carry out the analysis process and the understanding of the problem, three theoretical supports are considered that fit with the research approach. Two of them are related to the interaction of people with the physical space; while the third explores the inference process behind a behavior.

The Internet of Things has been a trend in the last decade and is now found in countless applications, solving problems in almost any field. Specifically, in the commercial area, there is an effort to apply this technology to facilitate the control of services or processes. This work presents the movement monitoring of commercial areas. The proposal uses the ESP32 board that, using passive infrared sensors located perpendicular to each other, covers two areas of interest for commercial premises with multiple products. The collected data travel to the ThingSpeak Platform, where there are graphs with the states of the sensors, allowing identify the active area. The results present the motion state readings in the two areas, indicating the correct functioning of the system. Finally, we use a technology acceptance model to analyze this proposal, determining an acceptance of 69.6% that is not favorable for this proposal.

The Internet of Things applications have benefited from the new integrated systems available on the market and the monitoring of electrical variables has become a necessity in the domestic and industrial fields. For this reason, this work presents the monitoring of electrical parameters using an M5Stack Core2 device. To obtain the electrical parameters, PZEM 004T V3.0 is used, this sensor allows reading voltage, current, active power, power factor, and active energy. For remote monitoring, the web service of the ThingSpeak platform is used. On this page, the information is presented graphically with a sample time of 15 s. The tests are carried out by monitoring the operation of a 3D printer while it manufactures a part. To validate the measurements, a commercial meter is used as a control instrument. The results show the online data and the comparative graphs between the proposed meter and the commercial meter, obtaining an error of 0.176% for the voltage and 7.085% for the current, which allows the proposal to be validated.

The thermal processes are characterized by generating a slow first-order response; these are stable systems. This characteristic favors controlling and monitoring the temperature in all ranges, dispensing with expensive devices to automate these processes. Thus, multiple low-cost proposals meet the technical requirements and include industry 4.0 features. This work presents a web monitoring system for thermal processes. To collect the temperatures, DHT22 sensors and an ESP32 board are used. The proposal includes Internet of Things technology, sending the data to the ThingSpeak server for remote viewing. The tests are carried out in a cold room heating process using a heater; Fig. 1 shows the temperatures of both components, observing how the temperature in the room stabilizes. The temperatures in the cooling room range from −1 [°C] to 27 [°C], and in the heater from 25 [°C] to 59 [°C]. Finally, the applications and limitations of the monitoring system are analyzed.

Internet of things platforms is essential components for project development with connectivity. Thus, these have positioned themselves in the market by offering multiple cloud services, such as a database, application programming interface, and more. This paper presents a system that collects data from air concentration sensors to detect the presence of pollutants. The electronic circuit uses a system-on-chip with WiFi connectivity and the MQ2 and MQ3 sensors, which detect liquefied petroleum gas and alcohol concentrations in the air, respectively. The system is based on the ThingSpeak platform, which receives and graphs data to see readings outside expected ranges. The results present the concentration levels of the MQ2 and MQ3 sensors, indicating the correct functioning of the system, and future applications of the proposed design are discussed.

The technology concept of “metaverse” has been closely related to urban space since its birth. In particular, the development of metaverse-related technologies and the support policies issued by the governments of major cities around the world have opened the door to the transformation of digital intelligence in the 21st century, making the current urban development face a new situation of transformation from informationization and digitalization to intelligence and wisdom. The deep integration of metaverse technology and urban space will likely open up a new urban development space, which will have a profound impact on the reconfiguration of urban digital intelligence, governance level and digital economy development. However, the current digital construction of smart cities has encountered some problems with digital characteristics. These problems are also the starting point for the involvement of metauniverse technology in the construction of smart cities. This study proposes the concept of “meta smart city” by sorting out the stages of smart city development, and makes a holistic framework for its connotation, necessity, design goals and feasible design logic, so as to provide guidance for future scientific research and development of meta smart city governance.

In recent years, comprehensive smart kitchen waste recycling systems have emerged in some urban communities in China. However, there are problems with the human-machine interaction experience, which has led many residents to continue to use traditional waste disposal methods, resulting in poor application results for smart kitchen waste recycling systems. This article takes user needs as the core and proposes five design strategies for smart kitchen waste recycling systems based on the user experience dimension model and feedback from the application of intelligent kitchen waste recycling systems in Chinese communities. The design strategies aim to meet the functional, usability, and pleasure needs. Among them, two design strategies address functional requirements, and three design strategies focus on usability, including the addition of a “bag-breaking” function, the implementation of a multifunctional design, adherence to ergonomic principles, ease of use principles, and consideration of the characteristics of middle-aged and elderly users. The final design strategy aims to improve the reward mechanism to increase user participation and satisfaction.

The impact of the new crown epidemic on the tourism industry is unprecedented. Research on public facilities in scenic spots has far-reaching significance for the development and operation of the tourism industry in the post-epidemic era, and can help the tourism industry more reasonably adapt to the development needs of the post-epidemic era. Based on the theory of Kansei engineering, this paper collects and screens suitable sensibility vocabulary and samples of public seats in scenic spots, and conducts sensibility evaluation experiments. Through factor analysis, the key factors and related physical elements that affect the sensibility evaluation of seat design are obtained, providing a basis for the design practice of public seats in scenic spots basis. In the end, the main needs of users for seats are summarized into three aspects: (1) sensory factors - special and fun, which mainly affect the appearance style and interactive design of seats; (2) functional factors - durability, sense of security, which mainly affects the functional design of the seat; (3) emotional factors - warmth and comfort, mainly affect the experience of using the seat.

‘Carbon Footprint’ has become a commonplace word but is rarely fully understood. It has become synonymous even with ‘Global Warming’ and the immediate picture that forms in the mind about probable causes of it, is of evil agendas and larger than life actions such as drilling into the ocean floor for oil, imagery of burning forests, large wastelands after wastelands of useful thrown away bulk load of stuff, all pointing towards the grossly unsustainable habits of the entire human population.This easily imaginable crime-scene is incomplete, though not inaccurate.As of now, the only place where sustainability is imaginable is at what a business undertakes, and the physical resources, that get utilised within its processes. However, this poster aims to bring to light the rather non-obvious player in sustainability – the User Interfaces themselves.For instance, in any sustainable enterprise scenarios where solutions convey the carbon emission details, enable the industries to track their carbon footprints or other such metrics. Ironically, what is not considered in these calculations is the emissions from the illuminated screens on which these solutions are consumed. Thus, we aim to look into the sustainability of the UI & the backend code that runs these ‘sustainable’ solutions.There are ways to design UI in a more sustainable way through building design system, guidelines & interactions by keeping sustainability in the core.This poster aims to demystify carbon emissions and make them more understandable and tangible for the every-man, identify the precise relations between UI design and carbon emissions, and suggest a starting point for a solution as also a stepping stone towards changing the user behaviour by improvised UI approaches from the UX community as a whole.

In product design, it is important to understand user’s kansei values and reflect them in the product. We then need to identify the relationship between kansei evaluations and product features. A large amount of text data including users’ impressions and kansei evaluations of products are stored on the Web as review data and various indices have been developed to evaluate products sensitively based on these. However, no method has been established to regress these evaluation indices on the design proposal using optimization. In this study, we propose the rudimentary design method for obtaining design proposal (product features) that satisfy users’ kansei requirements by using multi-objective optimization with regression models and validate effectiveness of the proposed method through experiment on real products.

This paper presents some preliminary results on how generative AI (Artificial Intelligence) can transform key tasks in a typical interior design workflow, namely, ideation, schematic drafting, and layout planning. We show via examples how targeted fine-tuning and deliberated prompt engineering can jumpstart the creative process and improve the overall workflow efficiency and effectiveness. Ideation by collecting targeted reference designs to fine-tune a Stable Diffusion model and cranking out various ideas by simply engineering prompts. Schematic drafting is to test design ideas in the actual environment, where designers model the space structure with specific design elements. We used an actual photo of a plain office as a guidance and teach the model to generate images with specified features, such as different styles, materials, décor objects, while maintaining the underlying spatial configuration. Layout Planning is to organize the functions with comprehensive consideration of functional relationships and layout design principles. The generative model is fine-tuned using selected layout plans, which can accommodate different functional strategies, such as private rooms, large open areas, etc. and provide viable layout options.

Guangdong soup is a conventional delicious, nutritious, and medicinal cuisine Guangdong area in China. With the development of society, the improvement of people’s living standards, and the enhancement of health consciousness, it has been rapidly promoted. Traditional Cantonese soups need more novel and aesthetic enjoyment, but the development is limited due to slow development, few varieties, poor taste, and obsolete packaging. In order to meet the challenges of sustainability and overcome cultural fragility, this paper focuses on the possibilities of integrating traditional soup culture with technology in current socio-historical conditions and tries to apply the theoretical research results to the development of the brand “Master Soup” in Kaiping, Guangzhou. This paper provides a new perspective on the sustainable development of traditional soup culture and has some guiding significance for promoting soup-product development in China.

The study investigates the cross-cultural customers’ behavior towards designer toys online visual merchandise display. Designer toys are created by independent designers and attract hobbyists to collect. Online stores are important access for customers to purchase designer toys. To find an expressive way of online displaying, the study divides designer toy photography into three parts, focal character, background, and dioramas. Uses the AIDMA model to evaluate the customer behavior process in four online display scenarios. And assess customers’ preferences for each scenario. The result reveals that although there has no signified effect with the AIDMA model, having backgrounds and dioramas indeed increases customers’ preference for the designer toy, and East Asians tend to prefer toys with backgrounds more than Westerners.

With the continuous improvement of modern manufacturing level, the concept of user-centered product design has been gradually attached to enterprises. The functional and technical features of products can no longer meet the needs of users, and consumers pay more and more attention to the emotional experience brought by products. As a very important part of the design, product image is crucial to the emotional experience of users.In order to promote the development of product image design, the research proposes a product modeling image prediction system based on Kansei Engineering, which predicts the overall product modeling image by constructing a Support Vector Machine (SVM) model.Firstly, determine the representative samples and perceptual images of the product; Secondly, combined with the morphological analysis method to analyze the design elements of the product, and combined with the semantic difference method to make a questionnaire to construct the product modeling image feature evaluation scale; finally, Preprocess the data collected by the questionnaire, divide the training set and test set, use the Support Vector Machine to establish the correlation model between the design elements and the perceptual image, and verify the effectiveness of the model.The research takes a hand-held vacuum cleaner as a case for verification, and builds a hand-held vacuum cleaner modeling image prediction system based on the Support Vector Machine model, which proves the effectiveness of the prediction method and provides effective assistance and support for product image optimization.

According to the SDGs, more and more research has come out. There are countless methods for sustainable product design, but most of the actual usage and results are not as significant as expected. In order to understand the more commonly used sustainable design methods in recent years and the sustainable design framework proposed by researchers, such a huge and comprehensive information is suitable for using literature review method to compare their differences and similarities, and analyze them from it. A good design of human-computer interaction can improve the efficiency of product use and reduce the waste of energy and resources. Based on the twelfth goal “Responsible Consumption and Production” of SDGs, this article aims to understand the framework of sustainable product design, different applications in different scopes, and its relevance to human-computer interaction.

With the increasing problems of stray dogs in Taiwan, societies have been raising their awareness to discuss the issue. The complex perspectives amongst stakeholders, poor communication, the difference between regional environments, and even the resources contribution all result in the dog TNR (Trap, Neuter, and Return) implementation lack of standard operating procedures. The situation influenced the effectiveness of preserving practical and tacit knowledge of the related implementation. Although the public and private sectors have spent a significant amount of time and resources for years, the problems of stray dogs have yet to be solved due to the lack of institutional knowledge.Therefore, the research question is how to apply service design thinking to solve this complex social issue from a knowledge viewpoint. This study explored how service design thinking can resolve the obstacle of preserving institutional knowledge through the “Stray Dog Population Management Planning Guideline” case study. The three objectives are the followings. Firstly, to analyze the problems that affect the implementation of dog population management—secondly, to devise the best solution utilizing service design thinking. Thirdly, to discuss how service design thinking impacted the preservation of institutional knowledge through study cases. The research results are insights into applying service design for complex knowledge preservation and conversion through an innovative social case. The research provides a revolutionary mindset on solving a complex social problem, encouraging stakeholders to take a knowledge communication approach.

This research explores the development of smart sportswear for sit skiers, utilizing a human-centered design approach. Sit skiing is a challenging and physically demanding sport, and there is a need for high-performance clothing that can enhance the skier’s comfort and performance while also providing safety. The study explores how smart sportswear can meet the needs and preferences of sit skiers, as well as the difficulties and challenges when sit skiers choose smart sportswear. The study involved a qualitative research method, including observation, textual analysis, and in-depth interviews with open-ended questions. The results of the study indicated that smart sportswear could provide valuable feedback and information to sit skiers, helping them to real-time monitor their health indicators, reduce risk, prevent injuries, and improve their overall performance. Further research is needed to explore the effectiveness of smart sportswear in real-world settings and to address the challenges of cost, maintenance, and integration with other technologies.

In modern society, with the development of science and technology and the emergence of various innovative products, people are no longer limited to the feelings brought by ordinary display forms. Publish posters, newspaper static display, window static display, star endorsement dynamic display, network dynamic special effects display, and multimedia dynamic demonstration to convey the design concept and significance of new products. The traditional display design mode and display means have become the resistance to the development of jewelry industry [1].The research method of this paper: This paper attempts to overcome some disadvantages of the current traditional lacquer jewelry display in the modern and contemporary digital design, ① Use the case analysis method to take the lacquer jewelry display design as the main research object, and investigate the application of virtual reality technology in the market ② The advantages and significance of the application of virtual reality technology in jewelry display are obtained by analyzing the application of virtual reality technology in jewelry display design. ③ On the basis of virtual reality technology, a virtual display design mode is proposed, and it is applied to the display of lacquer jewelry by analyzing the shape, matching method, and wearing effect of lacquer jewelry in advance. This article will also analyze the framework of the system to create a virtual visual model of lacquer jewelry by using modern modeling and engraving software and 3D network technology, and put forward ideas for the display design and display of lacquer jewelry, and propose a visual and dynamic model for people. How lacquer jewelry is displayed.

Children's creative furniture intervention in urban space, the development of society and the active exploration and research on the functionality of urban space presenting a diversified urban development model and actively creating a child-friendly city is a typical urban development sample. It can solve the counting problems of functional failure and demand misalignment of child-friendly urban public space, re-examine the inclusiveness and diversity of urban neighbourhood space, create a child-friendly city, drive social power, realize children’s design dreams in a new mode, and construct a child-friendly future community. The design team conducted joint workshops and children’s furniture creative curriculum design for social experiments in conjunction with Fengjiao Yuan Primary School. Using the streets of Fengpu District in Shanghai as the research site, the team conducted a creative activity of localization and creative storm translation, exploring the localization and inclusiveness of urban space and residents through children's creativity and activating the vitality of urban community space. The four-dimensional social innovation model of participation in learning - participation in design - participation in construction - participation in maintenance is constructed to explore the role of children's creative furniture in the process of urban renewal and the research path. A series of children's creative furniture design activities realize children's participation in urban construction in the form of urban masters, and creativity and imagination add vitality and temperature to the city. Creative design from children's perspective is an effective methodological strategy for empowering and reshaping community space. Children's innovative furniture design provides a rich spatial experience design, allowing residents to feel the effect of spatial expansion and improve the inclusiveness, interactivity and entertainment experience of urban community space. The in-depth exploration of spatial resources of urban neighbourhoods and urban furniture design needs, adhering to the innovative development model of adapting to local conditions and designing for needs, provides design ideas and empirical references for the development of the functional expansion of urban community space.

The innovative application of intelligent interaction technology based on user experience in modern packaging design improves the interaction between consumers and packaging to achieve a more interesting and intelligent packaging innovation design, thus improving human consciousness and consumer experience. Taking the user's emotional experience as the research perspective and interactive packaging as the research object, the three levels of emotional Through the analysis of interactive application design scenarios of packaging, we explore the interactivity, sharing and sustainability of intelligent interaction in modern packaging design, analyze the interaction design experience of packaging at different levels, and highlight the human-oriented design concept of smart packaging. Novel packaging materials, avant-garde design concepts and advanced intelligent interaction technologies can not only ensure the essential functions of modern packaging but also enhance the interactive experience between consumers and creative packaging and meet or even stimulate consumers’ deep-seated emotional needs and experience consumption patterns. Designers always need to keep their sensitivity to design. With the user as the core and the integration of modern intelligent technology, they can realize the upgrade of consumers’ emotional demands and interactive experience of contemporary packaging and explore the multiple possibilities of interactive packaging design based on emotional experience.

The purpose of this study is to explore the user perception of the display of major cultural elements in urban subway public spaces, and to provide design reference for improving the cultural expression of subway space design. Through a user questionnaire survey, this study conducted a relatively detailed exploration of the cultural needs of subway public space users and the expression status of regional culture, using the method of questionnaire survey to obtain and analyze data. The results show that there are some problems in the public space of urban maps, such as insufficient coordination of display regional cultural space, monotonous architectural space, single regional cultural communication function, and less design of cultural interactive devices. Propose plans such as interactive forms of new media, innovative regional cultural concepts, enriching spatial interface color design, and highlighting sculpture sketch design, to provide reference for the design of regional cultural expression in urban subway public spaces.