Human-Centered Design, Operation and Evaluation of Mobile Communications

The paper presents the design and implications of the MyHive e-commerce platform, a system that promotes direct interaction between beekeepers and consumers. It addresses the challenges faced by beekeepers in traditional commerce and demonstrates how the Beehive Adoption Marketing Strategy, supported by a user-centered design approach, can potentially mitigate these issues. The research presented in this paper outlines the user experience (UX)/Interaction Design processes used in MyHive's development and proposes a design approach that integrates User-Centred Design in E-commerce, the Beehive Adoption Marketing Strategy, and the application of technology in apiculture. The study proposes a design and marketing strategy of beehive adoption as a service and through this underscores the importance of direct beekeeper-consumer engagement for environmental conservation and sustainable beekeeping practices, offering insights for designers of similar platforms and services.

The manufacturing industry is undergoing a transformation from a traditional manufacturing model to a service-oriented manufacturing industry due to the gradual deepening of Industry 4.0 and the rapid development of the economy. This transformation has brought about technological and process innovations and significant changes in consumer needs and behavior. Currently, individuals prioritize self-expression and personalized satisfaction, which is particularly evident in their shopping habits. Clothing, as a crucial component of self-expression and personal style, has evolved from a purely materialistic aspect to a more spiritual one. Young consumers in the modern era have distinct clothing preferences. They seek not only functional and visually appealing products, but also clothing that embodies their values, tastes, and attitudes towards life. However, the traditional clothing industry largely relies on standardized production and has yet to establish a personalized industrial production model. As a result, the homogeneity of clothing makes it difficult to meet the diverse aesthetic needs of consumers. The adoption of personalized product design has become a new aid for the development and transformation of apparel enterprises. This paper conducts an in-depth study on the personalized demand for apparel products of youth groups using the Quality Function Deployment (QFD) method. By analyzing the needs of young consumers, we gain a comprehensive understanding of their consumption habits and aesthetic preferences. This understanding is then used to transform consumer demand into specific design requirements. This paper uses the hierarchical analysis (AHP) method to determine the weights and priorities of user needs. It then constructs a quality house to transform user needs into product design requirements. The aim is to provide guidance for apparel companies to design products for this group.

This study aimed to examine the parameters that contribute to users’ attitude and intention to use Virtual Try-on for beauty products. The study comprised of one-hundred eighty women who used the Virtual Try-on tool of a cosmetics website through their mobile devices and subsequently completed a questionnaire based on their experience assessing Virtual Try-on’ ease of use, usefulness, enjoyment, attitude and behavioral intention. According to the results, ease of use, usefulness and enjoyment were positively associated with users’ attitude towards Virtual Try-on, which in turn mediated the relationship between the aforementioned factors and behavioral intention.

With the popularity of mobile devices and the increasing usage rate of mobile applications, more and more companies tend to develop branded apps for branding and marketing purposes [1]. Despite the growing interest in applications and their market influence, there is still a lack of research on why branded apps perform successfully as visual communication channels, branding tools, and loyalty-building platforms. Realizing the significant role of branded apps as a technology product, an online marketing tool, and a service product, the researchers developed a branded app in this study to investigate how it can be a marketing tool for a business, and conducted usability tests to learn how the interface and interaction design work in branded apps, with the goal to identify usability problems in the prototype, learn about users’ preferences through observing interactions between the users and the interface, and improve the interface design based on the findings. Data was collected from 17 participants of usability tests.

Many studies show the possibilities and benefits of combining physical and digital information through augmented paper. Furthermore, the rise of Augmented Reality hardware and software for annotating the physical world with information is becoming more commonplace as a new computing paradigm. But so far, this has not been commercially applied to paper in a way that publishers can control. In fact, there is currently no standard way for book publishers to augment their printed products with digital media, short of using QR codes or creating custom AR apps. In this paper we outline a new publishing ecosystem for the creation and consumption of augmented books, and report the lab and field evaluation of a first commercial travel guide to use this. This is based simply on the use of the standard EPUB3 format for interactive e-books that forms the basis of a new ‘a-book’ file format and app.

With the rapid development of the internet industry and the widespread use of mobile devices, mobile commerce has gradually become an important way of consumption in people’s daily lives. Due to the characteristics of mobility, virtuality, real-time transactions, and borderless nature of mobile commerce, tax collection and management in this area have become a major challenge. In China, the tax system has undergone a transition from “experience-based tax management” to “invoice-based tax management” and further towards “data-driven tax management”, which aims to improve the tax collection and management system by promoting the construction of intelligent taxation digital and intelligent management platforms for enterprises. Against this backdrop, this study combines intelligent taxation with mobile commerce, focusing on solving the tax collection and management issues of mobile commerce under intelligent taxation. It analyzes the implementation methods and characteristics of intelligent taxation, the current development status and taxation issues of mobile commerce, and deeply explores the connection and adaptability between the two. The study aims to provide policy recommendations for the digital upgrade of tax collection and management applied to the field of mobile commerce.

With the rapid development of internet technology, the live streaming industry is booming, and e-commerce companies are adopting live streaming marketing methods. Through live streaming, consumers can more intuitively understand the products. This interactive format not only stimulates consumers’ purchase intentions, but also brings more traffic to businesses. Based on the SOR theory, this study explores the characteristics of e-commerce live streaming, focusing on variables such as visibility, authenticity, interactivity, entertainment, and preferential treatment. The research results show that the visibility, interactivity, and authenticity of live streaming have significant positive effects on consumer satisfaction, and the entertainment and preferential treatment also play positive roles. At the same time, consumer satisfaction positively promotes purchase intentions. Among the characteristics of e-commerce live streaming, the preferential treatment of live streaming has a significant mediating effect on purchase intentions, while the mediating effects of authenticity is relatively limited. These findings provide important references for e-commerce companies to formulate strategies in live streaming sales.

Electronic products occupy an important position in the export structure of China’s trade, and mobile phone products occupy a place in the export of electronic products. With the change of China’s export trade structure, it is of great significance to accurately predict the future trend of mobile phone export market. In order to effectively predict China’s mobile phone export volume, this paper selects China’s mobile phone export volume and other macro data that affect mobile phone export volume since 2008, normalizes the data to better reflect the essential relationship between the data, and finally uses the Gauss radial basis kernel function. In order to reflect the prediction accuracy of SVR model, this paper introduces ARIMA model for comparison. By comparing the two models, it is found that the support vector regression model can predict the export volume of mobile phones more accurately and verify the accuracy of its prediction of China’s mobile phone export volume.

In recent years, with the development of Internet and other technologies and the popularization of smart phone mobile terminals, people’s ideas and shopping methods have changed, and the mobile commerce market has developed rapidly. In this context, the use of massive data elements to empower business development will also become an important starting point for the improvement of business performance in the future, and at the same time, enterprises can also enrich the connotation of products and services through digital productization to create new business growth points. As a result, data elements will become an indispensable asset for future mobile commerce enterprises. Since digital assets are a new type of production factor, whether the traditional tax system is suitable for its characteristics, how to determine the occurrence of tax liability of digital assets, how to tax collect and manage digital assets, especially how to measure the value of digital assets and empower entities, and then clarify taxpayers, tax bases and other tax factors are all issues that need to be solved urgently. Therefore, this paper studies the tax management of China’s mobile commerce digital assets based on regional interests, China’s actual situation and the characteristics of mobile commerce.

This paper first defines the related concepts of digital assets, and analyzes the composition and characteristics of enterprise digital assets in the mobile commerce environment. Secondly, this paper analyzes the pre-taxation and taxation obstacles of mobile commerce digital assets, and finally puts forward corresponding countermeasures and suggestions, hoping to provide some reference for the tax department to carry out its work in the future.

As the cross-border mobile e-commerce food market is rapidly booming, food safety issues are becoming more and more prominent. To effectively respond to this challenge, this study applies the BTM (Biterm Topic Model) thematic model to deeply analyze the food safety user reviews on cross-border mobile e-commerce platforms. We first selected and collected platform data that met the research requirements and performed the necessary preprocessing. Subsequently, the review texts were analyzed using the BTM model, including topic intensity distribution, word cloud mapping, word frequency weight visualization, and quantitative output of word item relevance. Through these analyses, we delved into the manifestation of food safety issues in three aspects: topic intensity, topic domain, and subject structure, identified five specific types of food safety issues, and revealed the reasons behind them. The findings suggest that AMAZON US cross-border mobile e-commerce platform has some problems with food safety regulations. In response to these findings, we propose a series of targeted recommendations for improvement, which are relevant to other cross-border e-commerce platforms. These discoveries will offer valuable insights for the operation and oversight of cross-border mobile e-commerce platforms, fostering the sustainable growth of the cross-border food trade, safeguarding consumer rights and interests, mitigating platform risks, and ultimately promoting the long-term expansion of the industry.

Tourism has always been an important economic sector around the world with millions of tourists travelling every year. As the world emerges from the COVID-19 pandemic, the tourism industry is rapidly recovering, and it is projected that global traveler numbers will reach 90% of pre-pandemic levels by the end of 2023. While it is a significant contributor to global economy, it is also a great source of danger for tourists. Research studies have found that tourists are vulnerable to a variety of dangers and risk, including injury and death, while visiting attractions around the world. Compared to domestic populations, tourists face up to 16 times higher risks of fatalities from road accidents, drowning, falls, and crimes. It has been found that in a study done in New Zealand, an estimated 20% of overseas visitor injuries and 22% of fatalities are by tourism related activities. As such, we have developed a mobile application called Voyager is focused to help users be more informed about the dangers and safety culture of their travel destinations. The Voyager aims to help tourists identify safe locations, understand local law and safety culture. By providing this information, the Voyager aims to minimize the risks associated with tourism and enhance the overall travel experience for users.

The rise of automated technologies due to recent advances in Intelligent Transportation systems (ITS) from autonomous delivery services to physical transportation is rapidly developing and public availability is imminent with the active deployment and testing of teleoperation models launching this reality. With the inaugural release of the National Roadway Safety Strategy in 2022, the U.S. National transportation industry initiative aims for a goal of zero roadway fatalities and part of the solution is in designing safer autonomous or self-driving vehicle systems as viable forms of transport [14]. This initiative is prompted by the fact that worldwide vehicle related accidents result in 1.3 million deaths annually [13]. Further, this ambitious commitment to deliver safety and reliability in automotive teleoperations is commendable and will require further intentional efforts to focus on mitigating existing cybersecurity vulnerability and threat concerns. Additionally, the automotive industry supports integration of cybersecurity risk assessment and management through enforcing the joint International Organization for Standardization and Society of Automobile Engineers (ISO/SAE) 21434 standard and governance on road vehicle systems design and development. This ongoing research aims to develop a comprehensive framework to aid in threat mitigation by providing a conceptual information exchange flow model on Connected Autonomous Vehicle (CAV) and utilizing existing knowledge of threats to general information system security. By identifying the information flow, threat analysis and risk assessment risk based on threat vectors may be combined hybrid model approach annotating a ranked list to display classify risk factors into three severity levels: high, medium, low. This is an integral part of an overarching research on the design and development of a set of methodologies supporting the automotive industry toward the prevention of connected automotive cybersecurity vulnerability exploitation and promoting risk mitigation.

Instant messaging application is widely used around the world containing a huge pool of active users help solidify their roots and it is here to stay for a long time, having an application to communicate and meet new people is something everyone loves, but there are a handful of people who are introverted and will be shy to approach or speak freely, through the use of anonymous messaging application helps free break free from the fear which may help people to interact comfortably. ChatAlone goal is to break such barrier and help create a safe and productive environment for people to make friends and conduct discussions with the power of being anonymous.

Effective user feedback is crucial for enhancing the user experience (UX) of mobile applications. However, manually analyzing user reviews can be time-consuming and labour-intensive. This paper investigates the application of state-of-the-art aspect-based sentiment analysis (ABSA) algorithms to automate user review analysis and feedback. We scrape the most relevant Google Play Store user reviews for 6 distinct applications of unrelated categories and we separate them into single sentences. We employ and fine-tune a BERT-based ABSA model – Aspect Sentiment Triplet Extraction by PyABSA – to extract sentiment triplets (aspect, opinion, polarity) from the review sentences. The results demonstrate that ABSA models can effectively capture user feedback by identifying specific aspects and sentiments related to app features and functionalities. Our framework, which utilizes the ABSA model along with filtering methods via Topic Modeling, can automatically extract sentiment triplets and provide additional suggestions and statistics for the app developers. This framework facilitates efficient and comprehensive user feedback collection, enabling developers to make informed decisions for UX improvement.

In the realm of mobile internet, as products and services become increasingly homogenized, user experience has emerged as a pivotal factor in product success. User experience is an activity involving user participation, stimulating emotional responses, forming perceptions, and ultimately influencing consumer behavior. The current research conducts a quantitative analysis of consumer behavior to specifically examine the role of user experience in the selection of native Apps and WeChat Mini Program. We verified the selection differences between hedonic and utilitarian mobile internet products. The findings reveal significant differences in interaction and functional experience-based choices between these two categories of programs depends on the product types (hedonic vs. utilitarian), while differences in visual experience are not pronounced. This discovery offers valuable strategic guidance for mobile internet enterprises, especially in enhancing user experience. Furthermore, it provides a novel perspective and empirical support for academic research in related fields.

With the rapid development of mobile communication technology, library information services have evolved towards greater intelligence, offering readers more extensive and smarter services. However, ensuring the quality and performance of these services necessitates scientific evaluation. This study aims to delve into the dimensions of user experience in library mobile information services, using Wuhan University of Technology Library’s WeChat public platform as a case study. We defined six key dimensions of user experience, including sensory experience, content experience, interaction experience, functionality experience, service experience, and emotional experience, along with corresponding observation items. Through the use of a questionnaire survey method, we successfully collected 94 valid questionnaires and performed reliability and validity analyses. The research findings reveal differences in the importance of various dimensions of user experience. Furthermore, the utilization of factor analysis identified nine key indicators with higher significance. Additionally, the analysis employing statistical methods provided valuable insights into eight indicators that were associated with user dissatisfaction, contributing to the guidance of future improvement measures. In conclusion, this study summarizes ten key improvement indicators and implements corresponding improvements. These indicators cover critical aspects of user experience, such as content experience, interaction experience, functionality experience, and emotional experience. The research results offer concrete recommendations for enhancing library mobile information services, better meeting user needs, improving service quality, and serving as a reference for other higher education institutions offering similar services. This study emphasizes the significance of scientific user experience evaluation in the context of rapid technological advancement and how it can enhance service quality and performance.

With the development of society and the accelerated pace of life, insomnia has become a problem that affects people’s physical and mental health. How to alleviate the problem of insomnia and improve the quality of sleep has become the focus of people’s attention. Therefore, it is meaningful to design a suitable mobile sleep aid audio APP product for insomnia people. This paper proposes a method for designing a mobile sleep aid audio APP based on Kano-AHP-QFD theoretical model. Firstly, the study used a questionnaire to obtain insomnia patients’ opinions on the16 requirements of mobile sleep aid audio APP and use Kano model to categorize the requirements by attributes. Secondly, Analytic Hierarchy Process (AHP) was used to analyze the weights of the requirements, and then sort the weights of the requirements for the design of mobile sleep aid audio APP. Lastly, by using Quality Function Deployment (QFD), the customer’s requirements and expectations were changed into product design features and ensure that these design features are met. In this paper, by uniting three classic quality management tools, we conduct a design study on mobile sleep aid audio app and verify the possibility of its method in solving similar design problems. This paper can not only provide a practical mobile sleep aid audio design for people with insomnia, but also provide methodological references for other mobile app designs.

In user interface design, pop-up windows are widely used to help direct user attention effectively. The reasonable use of the characteristics of pop-up windows can accurately guide users’ attention, emphasize the importance of crucial information, and thus improve users’ efficiency in visual-searching and decision-making. This study aims to investigate the effects of the pop-up window position and gender difference on the users’ visual search process pertinent to mobile applications. The research variables were the locations of the pop-up window (i.e., at the center and bottom of the screen) and gender difference (i.e., male and female). A total of 40 participants were invited to take part in the experiment via convenience sampling methods. The experiment was a 2 × 2 between-subjects design. The data generated in the experiment were obtained from participants’ task performance, questionnaire of System Usability Scale (SUS), participants’ subjective evaluations, and post-experiment semi-structured interviews. The results of the study showed that: (1) The main effect of gender difference revealed significant difference in task performance, with males were more likely to find task goals than females. (2) The main effect of the pop-up window position made a significant difference on the System Usability Scale (SUS), with participants’ perceived ease-of-use being higher when the window was located in the center of the screen. (3) There were also significant gender difference in users’ subjective evaluation pertinent to the pop-up windows. (4) There was a significant interaction effect between the pop-up window position and gender difference on the search task, i.e., when the window was located in the center of the screen, the female performed better than the males. When the pop-up window was at the bottom of the screen, males performed better than females. The research findings can be good design references for the interaction designers in the near future.

The development of international sojourners’ sense of belonging in a cross-cultural environment has been research focus for long. However, with the development of information technology, how social media usage (SMU), as an indispensable tool in people’s lives, affects the enhancement of individuals’ sense of belonging, especially for international sojourners, has not received sufficient attention. This study aims to explore how different dimensions of SMU affects sense of belonging by taking the sample of international students in two separate studies, and unveil the underlying mechanism (fit to the university as a mediating variable) and boundary condition (personality of extroversion as a moderating variable). Data from two studies found that SMU (information and socializing) positively influenced sense of belonging and fit to the university mediated the positive relationship between SMU (information and socializing) and sense of belonging. In addition, personality of extroversion not only negatively mediated the positive relationship between SMU (information and socializing) and fit to the university, but also indirectly moderated the positive relationships between SMU (information and socializing) and sense of belonging.

WeChat mini-programs have over 120 million monthly active users as of 2021, making it a widely used platform. The application scenarios of WeChat mini-programs have penetrated every aspect of people’s lives, making user experience a crucial aspect. The focus of user experience is user research. User research enables the construction of user experience by considering the user’s perspective. This study aims to optimize the user experience of WeChat mini-programs from a user research perspective. This study employed a scientific bibliometric method to select relevant journal articles from 2016 to 2023 in the Chinese National Knowledge Infrastructure (CNKI) using ‘WeChat mini-program’ as the keyword and ‘user’ as the theme. Two software tools, VOSviewer and CiteSpace, were used for analysis. A visual knowledge mapping analysis of the literature exported from the CNKI library search was conducted. In recent years, research on WeChat Mini-program from a user perspective has focused on several areas, including WeChat, CloudBase, Management Systems, System Design, and User Experience. In the future, research on WeChat mini-programs may focus on interdisciplinary aspects such as technology development, application scenarios, and user experience interaction. This study focuses on the hot issues of WeChat mini-program user research in China, understands the current demand for WeChat mini-program user aspects in the Chinese market, explores the optimisation of WeChat mini-program user experience from user research, and guides the future research direction for subsequent researchers.

This study explored older people’s opinions of digital banking (online and mobile) and the risks they perceived in relation to these services. A total of 20 older users were recruited for a short interview to explore their views on different banking services. While most of the participants were interested in digital banking services, they expressed concerns about the security risks of using them. However, the involvement of friends or relatives were found could mitigate these negative perceptions.

Following this, prototype user interfaces for a mobile banking app and an online web-based banking service were developed to explore whether experience of digital banking affected their feelings towards them. Each prototype was tested by 6 older users under two conditions, one using the service on their own and the other with simulated online help from another person.

The experience of the participants with the prototypes raised interest in adopting digital banking services. It was found that when assisted by a friend or relative, the perceived risks were reduced.

This paper investigates the influence of device choice on the critique visitors leave on TripAdvisor for museum experiences. Utilizing a dataset of 286,379 reviews, we examine whether mobile reviews differ in promptness, negativity, and length compared to those submitted via non-mobile devices. Our findings reveal that mobile reviewer post more promptly after their visit, indicating a closer psychological proximity to the experience. These reviews are typically shorter and more negative, reflecting the constraints and immediacy of mobile interactions. The paper introduces novel insights into the role of device context in shaping visitor feedback and employs interaction effects to understand the complex dynamics between visit recency, sentiment, and review length. This research provides museums with actionable data to strategically tailor digital engagement and manage visitor relations in the evolving landscape of online reviews.

This research delves into examining the correlation between channels for spreading information and the behaviour of users. The objective is to revamp the design of headphones that are suitable for use in office settings, to enhance the communication experience while on the move, and to enrich methods for presenting the information. The design process was informed by interviews with experts and observations of users. Before investing in the user experience, the system's usability was evaluated by experts in smart design and industrial design. The system facilitates information transmission through touch and visual methods, enabling real-time camera-based remote display. The results of the ANOVA single-factor analysis and Likert scale indicate that the combination of visual and tactile interaction modes enhances user satisfaction and the allure of expression. The article concludes that maintaining consistency between user expression and communication methods, as well as reducing the learning curve for new features, is crucial for enhancing user satisfaction. The research findings offer valuable insights for future innovative applications in new scenarios that involve multiple modes of interaction.