HCI International 2019 - Posters

Table of Contents

1. Frontmatter

2. New Trends in Social Media

   1. Frontmatter

   2. NET-EXPO: A Gephi Plugin Towards Social Network Analysis of Network Exposure for Unipartite and Bipartite Graphs

      Muhammad “Tuan” Amith, Kayo Fujimoto, Cui Tao

      Abstract

      Social network analysis (SNA) concerns itself in studying network structures in relation to individuals’ behavior. Individuals may be influenced by their network members in their behavior, and thus past researchers have developed computational methods that allow us to measure the extent to which individuals are exposed to members with certain behavior within one’s social network, and that be correlated with their own behavior. Some of these methods include network exposure model, affiliation exposure model, and decomposed network exposure models. We developed a Gephi plugin that computes and visualizes these various kinds of network exposure models called NET-EXPO. We experimented with NET-EXPO on some social network datasets to demonstrate its pragmatic use in social network research. This plugin has the potential to equip researchers with a tool to compute network exposures in a user friendly way and simplify the process to compute and visualize the network data.

   3. Investigating the Determinants of Users’ Willingness to Pay for Answers on Q&A Platforms

      Jia Gu, Lili Liu

      Abstract

      Charging for answers on Q&A platforms is gaining popularity in Mainland China. For the purpose of making profit, understanding the determinants of users’ willingness to pay for answers is crucial for Q&A platforms, yet remains unclear. To narrow the research gap, this study develops an extended UTAUT framework, which integrates trust and long tail effect. In particular, the impacts of seven antecedents are empirically investigated, including performance expectancy, effort expectancy, social influence, facilitating conditions, trust towards answer providers, trust towards the Q&A platform, and long tail effect. Data was collected from 123 Chinese Q&A platform users (all of them have paid for answers) and analyzed with SPSS 22.0. Findings indicate that users’ willingness to pay is positively influenced by performance expectancy, facilitating conditions, trust towards the Q&A platform, and long tail effect. The potential theoretical and practical contributions are discussed.

   4. Internet Use and Happiness: An Updated Review of Literature

      Richard H. Hall

      Abstract

      The purpose of this research is to review the literation on the relationship between internet use and happiness, updating a previous review [1], and building upon a series of longitudinal studies following this initial review [2‐4]. Reasons for studying happiness, and happiness definitions and measurement are discussed. This is followed by a discussion of early research which found a negative relationship between internet use and happiness, followed by studies indicating a more positive relationship, supporting a “stimulation hypothesis” that poses that the internet can act to facilitate face-to-face interactions. More recent research has focused on social networking. With some important exceptions, these most recent studies continue to find that internet use is positively related to happiness, while identifying a number of important mediating and moderating variables, such as experience with the internet and social networking; wealth; health; number of “friends”; the nature of interactions; extroversion, and the ways in which users represent themselves online.

   5. HCI Design Principles and Visual Analytics for Media Analytics Platform

      Ajaz Hussain, Sara Diamond, Steve Szigeti, Marcus A. Gordon, Feng Yuan, Melissa Diep, Lan-Xi Dong

      Abstract

      Media industries and advertisers are increasingly turning to big data analytics to better understand audience media consumption patterns, as evidenced by Canada’s Globe and Mail’s applications Sophi and TasteGraph [1, 2]. Data analytics and interface design provide complementary perspectives for large datasets. HCI design principles have been applied to Business Intelligence (BI) platforms, including techniques which filter and summarize large data sets, and are equally relevant to media informatics platforms for advertisers, buyers, sellers, and planners [1, 7‐9]. This analysis becomes more challenging when managing highly scalable and multi-dimensional audience survey data [3‐6]. According to Dewdney and Ride visualization tools are essential for effective decision making in the communications industry as these ease cognitive load and decision-making [15]. Kirk proves that a visualization system becomes a successful tool when it builds on the user’s extant domain knowledge, providing enhanced insights [13]. The research aims to leverage visualization design principles as defined by Tulp and Meirelles [6, 7] and in order to improve the UI/UX and visual analytic capabilities of a leading media analytics platform providing planners, advertisers, and media buyers with an interface to better understand their audience. We have analyzed and assessed the different application report parameters that explore television and radio survey datasets from a leading analytics firm. We propose design prototypes which are comprised of enhanced symbolic icons [9] through badges and glyphs, consistent colours [10], and layouts which maintain a visual hierarchy and filtration techniques [10, 11, 14] in order to minimize information clutter and cognitive overload. We propose a variety of interface designs that address user needs using HCI, heuristic design principles and novel visualization techniques [6, 7, 12, 15]. Next steps include validating our design prototypes through rigorous user testing and building high fidelity prototypes.

   6. Beautifying Profile Pictures in Online Dating: Dissolving the Ideal-Reality Gap

      Takuya Iwamoto, Kazutaka Kurihara

      Abstract

      With the drastic expansion of the online dating service market, attractive profile pictures are vital in the competitive world of dating. To attract others using these pictures, photo editors are helpful. However, enhanced profile pictures produce an ideal-reality gap. The more a profile picture is beautified, the wider is the gap between the image and the actual person, which can cause discomfort when two users meet in person. A solution to the gap problem is the gradually reversing the beautified image to the non-edited image over time, which was supported by our first experiment which tested if subjects could notice the gradual changes in given profile pictures over certain time. Additionally, we conducted an experiment, where one group saw gradual changes of a beautified image while another just saw the beautified image, and finally, the subjects’ minds to meet the model on the image was compared. This paper discusses both the experiments.

   7. Emotion Recognition in Social Media: A Case Study About Tax Frauds

      Stefanie Niklander

      Abstract

      Analyzing and understanding the relation of emotions and human computing interaction has become a necessity today. Indeed, sentiment analysis tools have gained special attention during the last years in order to facilitate and support the understanding and study of human affections. In this paper, we analyze an important Chilean tax fraud case by combining sentiment analysis and critical discourse analysis. We take as a case study, the tweets of the year 2018 that contain the #SQM hashtag. This case involves tax fraud and violations of political campaign laws. People from different political parties created fake invoices, which are then paid by SQM to be illegally used onto political parties violating campaign finance laws. Interesting results are obtained where we identify which topics and persons have a negative or positive connotation in the readers.

   8. Investigating the Usage Patterns and the Implications of Young Adults’ Social Media Usage in South Africa

      Shanay Paideya, Adheesh Budree, Shivani Arora

      Abstract

      Social media has rapidly grown and become a prominent and integral part of our daily lives. Social media usage has various effects on users. The purpose of this research is to provide an insight on the current social media usage patterns of young adults in South Africa and to explore the implications of social media usage on social interactions. A survey was conducted and the data gathered from 103 participants was analysed. The usage pattern analysis found that most users are followers rather than posters. The following factors were found through exploratory factor analysis: social media dependency, social interaction impact and false self-comparison/impress. It was found that social media usage affects face-to-face conversations and therefore affects the quality of relationships. It was also found that these factors are linked to social norms.