AIS SIGHCI Newsletter – Volume 21 Issue 2

The first paper entitled “Promoting Male Online Gamers’ Positive User Experience: A Hierarchical Approach” by Zixiu Guo, Ji-Rong Jeff Peng, Michael Cahalane, and Yuan Li examined the value of online gaming by identifying six psychological needs associated with online gaming: autonomy, competence, personal growth, engagement, pride, and relatedness, as well as the relationships between game attributes, benefits to gamers, and the fundamental value to gamers. The second paper entitled “Taking a Break from Social Media? A Multi-method Investigation of Social Media Abstinence Duration” by Isaac Vaghefi and Ofir Turel assessed the effect of compulsive social media use, attitude toward abstinence, and mood during abstinence on social media abstinence duration, and identified four user profiles (i.e., challenged strivers, moderate strugglers, successful maintainers, and steadfast controllers) to better explain social media abstinence behavior. The third paper entitled “Designing Virtual Characters in Digital Health Technologies: A Self-presence Perspective” by Polina Durneva, Cynthia LeRouge, and Christine Lisetti provided principles for designing virtual characters to enhance self-presence in digital health technologies for facilitating self-management of obesity and overweight. The research commentary entitled “Generative AI for Intelligence Augmentation: Categorization and Evaluation Frameworks for Large Language Model Adaptation” by Jie Tao, Lina Zhou, and Xing Fang presented a categorization framework for Large Language Model (LLM) adaptation featuring two human-centered dimensions and staged LLM adaptation relative to human intelligence interaction timing. They also developed an evaluation framework incorporating both human-centered and machine-centered dimensions, demonstrated through empirical investigations of LLM adaptation across use cases, and provided practical recommendations for selecting adaptation strategies to enhance LLM efficacy in intelligence augmentation. The sixth paper is a corrigendum entitled “Corrigendum to ‘HCI that Makes and Breaks Online Fake: An Introduction to the Special Issue” by D. Te’Eni and S. Ho addressed errors in the original editorial’s references to two articles from the special issue.

Al Mamun, M., Ntsweng, O., David, A., Baah-Peprah, P., & Prybutok, V. R. (2025). What Drives User Intention to Continue Using Conversational AI? How Functional and Emotional Values Influence Continuance Intention. AIS Transactions on Human-Computer Interaction, 17(1), 1-34. DOI: 10.17705/1thci.00216

Available at: https://aisel.aisnet.org/thci/vol17/iss1/1/

Abstract:

The growing popularity of conversational AI has created numerous opportunities for individuals and businesses. However, traditional IS use theories fail to capture the empirical reality of conversational AI artifacts. Thus, we identify a need to evolve new theoretical perspectives that provide meaningful insights for scholars and practitioners. Thus far, researchers generally agree that conversational AI generates two forms of consumer values—functional and emotional—but they have primarily focused on transient emotional values. In this study, we investigate the impact of functional values (i.e., perceived usefulness) and enduring or sustainable emotional values (i.e., emotional attachment) on users’ intention to continue using conversational AI. We evaluated our research question by drawing on the lens of attachment theory, theory of consumption values, and agentic IS literature. We conducted an online survey with 288 participants. The results show that both functional and emotional values are important for continuance intention. However, functional values predicted continuance intentions better than emotional values. Additionally, we found a positive association between emotional and functional values. These findings contribute to the conversational AI use literature by merging previously disparate literature streams to concomitantly examine the impact of functional and emotional values on user continuance intentions.

Thimmanayakanapalya, S., Mulgund, P., & Sharman, R. (2025). A Discourse Structural Analysis Survey and Taxonomy for Chatbots. AIS Transactions on Human-Computer Interaction, 17(1), 35-79. DOI: 10.17705/1thci.00217

Available at: https://aisel.aisnet.org/thci/vol17/iss1/2/

Abstract:

As organizations increasingly adopt chatbots, the complexity of chatbot–human conversations also increases. The success of chatbots depends on their ability to interpret discourse contexts and provide meaningful responses that resonate with users. Discourse-analysis methods, which can elucidate the intricacies of conversation design, discourse structures, and semantics, play an instrumental role in guiding efforts to design human–chatbot conversations and ensuring that they resemble human-human conversations. For this research, we meticulously reviewed 92 scholarly papers that considered discourse-analysis methods for chatbot development to unravel the connections between discourse structures and the dimensions of chatbot design. Furthermore, we examine the extent to which the chatbot dimensions across the four distinct chatbot conversation lifecycle phases align with one another to ensure a comprehensive, cradle-to-grave approach. Additionally, we delved into the conversation modeling dilemmas that emerge when designing contextually sensitive chatbots.

Karumathil, A., & Tripathi, R. (2025). Combating Survey Bots in Online Research: An Integrative Literature Review of Insights and Strategies. AIS Transactions on Human-Computer Interaction, 17(1), 80-109. DOI: 10.17705/1thci.00218

Available at: https://aisel.aisnet.org/thci/vol17/iss1/3/

Abstract:

Even though information systems (IS) literature has increasingly recognized bot infiltration, recommendations on mitigation strategies remain largely confined to the disparate academic domains in which researchers studied bots. We use the integrated literature review (ILR) method to analyze relevant studies published from 2010 through 2022 to provide an overview of the extant research on survey bots, identify areas that warrant further scholarship, and highlight state-of-the-art techniques for bot management. We found that the literature on survey bots is fragmented and lacks a set of generalized recommendations for online survey research across contexts. Thus, we consolidate cross-disciplinary themes and propose best practices to researchers and practitioners to combat survey bots. In doing so, our study can serve as a reference point for scholars who investigate this emerging phenomenon. We also provide a decision tree to help scholars and practitioners to use bot management techniques in their online surveys.

Bhatt, S., Das, D., Kamoonpuri, S., Varshney, S., Sengar, A., Singh, R., & Desai, A. (2025). AI Don’t Like It! Investigating the Barriers to Implementation of AI Influencers. AIS Transactions on Human-Computer Interaction, 17(1), 110-141. DOI: 10.17705/1thci.00219

Available at: https://aisel.aisnet.org/thci/vol17/iss1/4/

Abstract:

AI influencers, also known as virtual influencers, refer to computer-generated digital characters that have gained a large social media following in recent years. These computer-generated entities perform similar tasks to human influencers, such as promoting products, engaging with followers, and building online communities. Despite not being real individuals, AI influencers have become trusted tastemakers in various niches and offer companies various advantages, such as lower costs, greater content control, and more personalized content delivery. However, AI influencers have not yet achieved widespread adoption and face significant challenges. We used the fuzzy analytical hierarchy process (FAHP) method to identify and classify the various factors that impede organizations from adopting AI influencers using a multi-stakeholder perspective. We identified seven primary barriers and 38 subbarriers. We performed a sensitivity analysis to confirm our approach’s robustness.

Rendell, A., Adam, M. T., & Teubner, T. (2025). Exploring the Role of Nature Imagery in User Interface Design: Insights from a Qualitative Study. AIS Transactions on Human-Computer Interaction, 17(1), 142-167. DOI: 10.17705/1thci.00220

Available at: https://aisel.aisnet.org/thci/vol17/iss1/5/

Abstract:

System designers increasingly use nature imagery to facilitate positive experiences in user interface (UI) design. Psychology research has shown that exposure to nature can have calming effects and restore cognitive capacity. Yet, limited research has considered the impact of nature imagery in UI design on users’ cognition, affect, and behavior. In this paper, we conduct an exploratory study to inform how system designers can leverage the positive effects of nature imagery in UI design. Following a hybrid approach of deductive and inductive reasoning, we integrated existing theoretical and empirical insights to contextualize the stimulus-organism-response framework and conducted 20 interviews to draw on key stakeholders’ insights. Based on thematically analyzing the interviews, we formulate five recommendations to support UI designers in leveraging the positive effects of nature imagery.

Te’Eni, D., & Ho, S. (2025). Corrigendum to “HCI that Makes and Breaks Online Fake: An Introduction to the Special Issue” [AIS Transactions on Human-Computer Interaction, 14(2) (2022) 107-115]. AIS Transactions on Human-Computer Interaction, 17(1), 168-169. DOI: 10.17705/1thci.00221

Available at: https://aisel.aisnet.org/thci/vol17/iss1/6/

Abstract:

In the above referenced editorial entitled “HCI that Makes and Breaks Online Fake: An Introduction to the Special Issue” (DOI: 10.17705/1thci.00163), we found errors in the references to two articles published in the special issue. The errors were in the article titles and the corrections are as follows:

Manikonda, L., Arrington, C., Nevo, D., Horne, B., & Adali, S. (2022). The reasoning behind fake news assessments: A linguistic analysis. AIS Transactions on Human-Computer Interaction, 14(2), pp. 230-253.

Tran, T. N., Valecha, R., & Rao, R. (2022). Health-related misinformation harm during the COVID- 19 pandemic: An investigation of non-comparative and comparative harm perceptions. AIS Transactions on Human-Computer Interaction, 14(2), pp. 185-206.

The first paper entitled “Metaverse Research: A 15-year Review and Research Prospectus” by Alanah Mitchell, Dawn Owens, and Deepak Khazanchi presents a narrative review of publications in metaverse in the last 15 years. Their findings cover (i) metaverse platforms and research methodologies used, (ii) immersion, presence, and representation of people/avatars, (iii) metaverse technology capabilities in supporting communication, rendering, interaction, and team process, (iv) behaviors from the perspective of coordination, trust, role clarity, and shared understanding, and (v) outcomes in terms of member support, perceived quality, cultural synchronicity, in-world and out-world artifacts, deception, and intention to immerse in the metaverse. Building on the narrative review, they outline potential opportunities for research in metaverse development, education, gaming, lifestyle, as well as work and job design.

The second paper entitled “Mapping the Evolution of Metaverse Research in Business Domains: A Systematic Literature Review and Future Research Directions” by Sourya Joyee De and Manojit Chattopadhyay presents a systematic review of the extant literature on the metaverse by addressing three broad research questions on (i) the evolution and present state of metaverse research, (ii) the themes and theoretical underpinnings in metaverse research, and (iii) directions for future research. They derive 11 research themes, highlight relevant theories underlying each of these themes, and pinpoint knowledge gaps within extant literature that warrant further research.

The third paper entitled “Virtual Presence in Immersive Metaverse-enabling Environments: Being There, Being with Another, and Being the Actual Self” by Polina Durneva, Yusi Ma, George Marakas, and Miguel Aguirre-Urreta presents a scoping review of the literature on virtual presence in immersive metaverse environments as well as the factors associated with the three constituent dimensions of presence, namely, self-presence, social presence, and spatial presence. They further identified technological, contextual, and individual factors that influence these dimensions of virtual presence along with design principles to enhance virtual presence in metaverse environments.

The fourth and last paper in this special issue entitled “Stepping into the Metaverse and Unlocking the Power of Interactivity: Examining the Impact of Metaverse Platform Attributes on User Engagement” by Aman Kumar, Amit Shankar, Abhishek Behl, and Justin Zuopeng Zhang employed a mixed-methods approach to examine user engagement in the metaverse. Their findings suggest that homophily, immersiveness, and personalization are associated with user engagement in the metaverse. Furthermore, parasocial interaction partially mediates the relationships between user engagement and its antecedents of control, homophily, immersiveness, and personalization, whereas self-platform connection plays a moderated mediation role by strengthening the mediating effects of parasocial interaction on the relationships between user engagement and two of its antecedents, namely, homophily and immersiveness. The authors illuminate crucial factors affecting user engagement in metaverse platform. 

Nah, F. F. H., de Vreede, G. J., Goel, L., Lim, E. T. K., Schiller, S., & Tan, C. W. (2024). Editorial for the special issue of the metaverse. AIS Transactions on Human-Computer Interaction, 16(4), pp. 388-395.  DOI: 10.17705/1thci.00211

Available at: https://aisel.aisnet.org/thci/vol16/iss4/1/

Abstract:

The metaverse is laying the groundwork for more accessible and immersive experiences by blending the physical and virtual worlds into a unified space where people can interact, create, and connect in entirely new ways. It holds the potential to revolutionize how we work, socialize, and learn, which in turn gives rise to unprecedented opportunities for innovation. In this special issue, we present four articles that depict the current state of research in metaverse, the key themes and theoretical underpinnings within this space, as well as emerging directions for future work. This special issue delivers valuable insights for both researchers and practitioners by advancing our understanding of the metaverse and its evolving potential.

Mitchell, A., Owens, D., & Khazanchi, D. (2024). Metaverse research: A 15-year review and research prospectus. AIS Transactions on Human-Computer Interaction, 16(4), pp. 396-428. DOI: 10.17705/1thci.00212

Available at: https://aisel.aisnet.org/thci/vol16/iss4/2/

Abstract:

Fifteen years ago, Davis et al. (2009) defined and described the metaverse’s capabilities and presented a foundation for research in this environment. Since then, particularly in the past few years, researchers have paid considerable attention to metaverses in both research and practice. This growth in attention suggests it is time to assess what we learned about metaverses and explore future opportunities. Therefore, in this paper, we review what we learned over the past 15 years related to metaverse research and present important possibilities and opportunities for future research. We summarize foundational research findings in relation to the metaverse, people/avatars, metaverse technology capabilities, behaviors, and virtual world outcomes. Additionally, we present research opportunities in metaverse education, development, lifestyle, work and job design, and gaming—all areas where metaverse technology innovation and application have received attention since Davis et al. (2009). The research opportunities that we outline illustrate how the metaverse continues to present rich possibilities and promise for the future.

De, S. J., & Chattopadhyay, M. (2024). Mapping the evolution of metaverse research in business domains: A systematic literature review and future research directions. AIS Transactions on Human-Computer Interaction, 16(4), pp. 429-480. DOI: 10.17705/1thci.00213

Available at: https://aisel.aisnet.org/thci/vol16/iss4/3/  

Abstract:

In an increasingly digital world, the metaverse offers new opportunities and presents novel challenges for business applications. With growing interest in its applications in various business sectors such as tourism, healthcare, education, and marketing due to the rich user experiences it can provide, the metaverse has begun to gather increasing research attention. Yet, to date, research efforts in this area remain sparse. In this paper, we systematically review 151 papers on metaverse and answer three research questions on how metaverse research has evolved, identify the themes and theoretical background in the current metaverse literature, and propose a future agenda for metaverse research. We unveil 11 major themes guiding future business innovations around metaverse and emphasize the need to develop deeper theoretical connections to obtain better insights on metaverse applications. We also uncover various unexplored domains such as privacy implications and adoption of metaverse, technostress caused by increased use of metaverse, metaverse applications in various educational contexts, and the metaverse’s effect on student wellbeing. Further, we discuss the future research agenda for metaverse to enable its business potential and managerial impact.

Durneva, P., Ma, Y., Marakas, G. M., & Aguirre-Urreta, M. I. (2024). Virtual presence in immersive metaverse-enabling environments: Being there, being with another, and being the actual self. AIS Transactions on Human-Computer Interaction, 16(4), pp. 481-516. DOI: 10.17705/1thci.00214

Available at: https://aisel.aisnet.org/thci/vol16/iss4/4/  

Abstract:

Experiencing virtual presence can be associated with various positive outcomes in immersive metaverse-enabling environments. However, we do not adequately understand how to induce virtual presence in such environments, which can hinder users from fully benefiting from their interactions in the metaverse. To address this gap, we conducted a scoping review in which we examined empirical studies that focus on virtual presence in immersive metaverse-enabling environments and identified factors associated with various dimensions of presence (such as spatial presence, social presence, and self-presence). By analyzing relevant studies, we identified the critical factors that influence virtual presence in metaverse environments. In particular, we identified technological, contextual, and individual factors that contribute to the dimensions of virtual presence. We also derived preliminary design principles based on our analysis. Our design principles emphasize the importance of aligning virtual environments with users’ physical movements and stance, providing appropriate sensory cues, and enabling user interactions with virtual characters in inducing virtual presence. Overall, this study provides clarity on the factors that affect presence in immersive metaverse-enabling environments and offers insightful guidance for designing and evaluating such environments relative to virtual presence.

Kumar, A., Shankar, A., Behl, A., & Zhang, J. Z. (2024). Stepping into the metaverse and unlocking the power of interactivity: Examining the impact of metaverse platform attributes on user engagement. AIS Transactions on Human-Computer Interaction, 16(4), pp. 517-542. DOI: 10.17705/1thci.00215

Available at: https://aisel.aisnet.org/thci/vol16/iss4/5/  

Abstract:

In this research, we examine user engagement with the metaverse platform using the stimulus-organism-response theory. We used a mixed-methods approach that involved a qualitative study and a quantitative study to answer several research questions. We found that immersiveness, personalization, and homophily are associated with user engagement in the metaverse. We also found that parasocial interaction meditates the relationships from control, immersiveness, personalization, and homophily to user engagement in the metaverse. Self-platform connection plays a crucial moderating role in the mediating effect of parasocial interaction for immersiveness and homophily. This research contributes to the existing literature on metaverse interactivity and user engagement while offering valuable insights into consumer behavior in virtual environments. This study can help organizations enhance their metaverse platforms to increase user engagement in the metaverse.

The first paper entitled “Promoting Male Online Gamers’ Positive User Experience: A Hierarchical Approach” by Zixiu Guo, Ji-Rong Jeff Peng, Michael Cahalane, and Yuan Li examined the value of online gamining by identifying six psychological needs associated with online gaming: autonomy, competence, personal growth, engagement, pride, and relatedness, as well as the relationships between game attributes, benefits to gamers, and the fundamental value to gamers. The second paper entitled “Taking a Break from Social Media? A Multi-method Investigation of Social Media Abstinence Duration” by Isaac Vaghefi and Ofir Turel assessed the effect of compulsive social media use, attitude toward abstinence, and mood during abstinence on social media abstinence duration, and identified four user profiles (i.e., challenged strivers, moderate strugglers, successful maintainers, and steadfast controllers) to better explain and understand social media abstinence behavior. The third paper entitled “Designing Virtual Characters in Digital Health Technologies: A Self-presence Perspective” by Polina Durneva, Cynthia LeRouge, and Christine Lisetti provided principles for designing virtual characters to enhance self-presence in digital health technologies for facilitating self-management of obesity and overweight.

The research commentary entitled “Generative AI for Intelligence Augmentation: Categorization and Evaluation Frameworks for Large Language Model Adaptation” by Jie Tao, Lina Zhou, and Xing Fang presented a categorization framework for Large Language Model (LLM) adaptation that features two human-centered dimensions and staged LLM adaptation with respect to when it interacts with human intelligence. They also presented an evaluation framework for LLM adaptation that incorporates both human centered and machine centered dimensions of evaluation measures. They presented empirical investigations into LLM adaptation for different use cases to demonstrate the application of these frameworks and to compare various adaptation strategies. They also provided practical recommendations for selecting effective adaptation strategies to improve the efficacy of LLMs for intelligence augmentation.

Guo, Z.., Peng, J. J., Cahalane, M., & Li, Y. (2024). Promoting male online gamers’ positive user experience: A hierarchical approach. AIS Transactions on Human-Computer Interaction, 16(3), pp. 272-308.  DOI: 10.17705/1thci.00207

Available at: https://aisel.aisnet.org/thci/vol16/iss3/1/

Abstract:

Exploring the intricate online gaming landscape, we employ the means-end chain theory to investigate male players’ positive user experience to understand how specific game attributes fulfill male players’ psychological needs and lead to positive experiences. We conducted in-depth interviews with 15 male participants with experience in multiplayer online games. We designed these interviews to explore the participants’ gaming experiences. In particular, the interviews focused on the game attributes they valued, the psychological needs they sought to fulfill, and the positive experiences they derived from gaming. We analyzed the interview data using a laddering technique, a qualitative research method that identifies the linkages between product attributes, benefits, and values. Our findings reveal that male players in our study primarily sought to fulfill six psychological needs through online gaming: autonomy, competence, personal growth, player engagement, pride, and relatedness. We found a link between specific game attributes and their realization, which leads to positive user experiences characterized by enjoyment, satisfaction, and fulfilment. This study contributes to the literature by explaining male players’ positive user experience in a nuanced manner. It offers valuable insights for game designers and companies to create more customized engaging and satisfying gaming experiences.

Vaghefi, I. A. & Turel, O. (2024). Taking a break from social media? A multi-method investigation of social media abstinence duration, 16(3), pp. 309-338. DOI: 10.17705/1thci.00208

Available at: https://aisel.aisnet.org/thci/vol16/iss3/2/

Abstract:

The rise in compulsive media use has led to adverse outcomes for individuals, such as reduced life satisfaction and deteriorated performance. As a result, many people have chosen to abstain (take breaks) from social media use to mitigate these negative effects. While prior research has examined drivers of decisions to abstain versus not, we still need to understand what happens after people make abstinence decisions (e.g., to address how long people can abstain or what makes some people abstain longer than others). To address this need, we first propose a research model that includes compulsive use, attitude toward abstinence, and mood during abstinence as predictors for how long people will abstain from social media. We conducted two studies. In the first study, we conducted a variable- centered analysis to examine data from volunteers who agreed to take up to a one-week break from social media. In the second study, we conducted a person-centered analysis along with the validated factors and a new dataset to develop a typology that delineates four user profiles: challenged strivers, moderate strugglers, successful maintainers, and steadfast controllers. Each profile exhibits unique characteristics and experiences distinct outcomes with regard to social media abstinence. Findings from the second study complement the first and contribute to explaining social media abstinence in a more nuanced way.

Durneva, P., LeRouge, C., & Lisetti, C. (2024). Designing virtual characters in digital health technologies: A self-presence perspective. AIS Transactions on Human-Computer Interaction, 16(3), pp. 339-363. DOI: 10.17705/1thci.00209

Available at: https://aisel.aisnet.org/thci/vol16/iss3/3/   

Abstract:

Overweight and obesity represent major public health issues that affect more than 12.7 million children and adolescents. Health behavior change plays a critical role in self-managing obesity and overweight and can set the foundation for lifelong health for children and adolescents. Despite the potential of digital health technologies (DHTs) to help children and adolescents self-manage obesity and overweight, user engagement with DHTs, which plays a critical role in driving health behavior changes and improving health outcomes, remains low. One way to enhance user engagement with DHTs involves leveraging virtual characters through inducing self-presence among users. However, it is unclear how one can design virtual characters to achieve self-presence in DHTs to help children and adolescents self-manage obesity and overweight. The current study draws relevant data from a larger user-centered design science project to design a DHT that targets obese and overweight adolescents. We first derived relevant affordances pertinent to designing virtual characters through the self-presence perspective and then constructed design guidelines based on our findings. Further, we reviewed existing studies to determine potential support to further generalize our design guidelines. Based on our evidence, we propose design principles that can inform future efforts to design and assess virtual characters in DHTs.  Developers and researchers who want to make DHTs more impactful in fostering healthier lifestyles among the youth should find our results useful.              

Tao, J., Zhou, L., & Fang, X. (2024). Generative AI for intelligence augmentation: Categorization and evaluation frameworks for large language model adaptation. AIS Transactions on Human-Computer Interaction, 16(3), pp. 364-387. DOI: 10.17705/1thci.00210

Available at: https://aisel.aisnet.org/thci/vol16/iss3/4/    

Abstract:

Generative AI (GenAI) has transformed how businesses operate and innovate and how individuals learn, live, and work. Large language models (LLMs), a specific type of GenAI, focus on generating human-like text based on user instructions. Like other types of GenAI, LLMs have received wide recognition for their potential to augment human intelligence, but several challenges hinder efforts to realize their full potential in practice. Some notable challenges include not adequately exploring LLM applications beyond chatbots and/or text generation, the difficulty in categorizing various LLM adaptation strategies (particularly regarding human interactions), and the lack of a reference framework for evaluating and selecting LLM adaptation strategies from a human-centered perspective. To address these challenges, we propose a categorization framework for LLM adaptation that features two human-centered dimensions and stage LLM adaptation with respect to when it interacts with human intelligence. Additionally, we introduce an evaluation framework that incorporates a human-centered perspective that goes beyond the common machine-centered measures. Our empirical investigations, in which we use text classification as use cases, not only demonstrate the application of these frameworks but also compare various adaptation strategies. These artifacts and findings provide fresh insights and practical recommendations for selecting effective adaptation strategies to improve the efficacy of LLMs for intelligence augmentation. We further identify future research issues to address current limitations and suggest improvements for the proposed frameworks.

• Behavioral, cognitive, motivational, and affective aspects of human and technology interaction
• User task analysis and modeling; fit between representations and task types
• Digital documents/genres; human information seeking and web navigation behaviors; human information interaction; information visualization
• Social media; social computing; virtual communities
• Behavioral information security and information assurance; privacy and trust in human technology interaction
• User interface design and evaluation for various applications in business, managerial, organizational, educational, social, cultural, non-work, and other domains
• Integrated and/or innovative approaches, guidelines, and standards or metrics for human-centered analysis, design, construction, evaluation, and use of interactive devices and information systems
• Information systems usability engineering; universal usability
• Impact of interfaces/information technology on people’s attitude, behavior, performance, perception, and productivity
• Implications and consequences of technological change on individuals, groups, society, and socio-technical units
• Software learning and training issues such as perceptual, cognitive, and motivational aspects of learning
• Gender and information technology
• New applications, modalities, and multimedia interaction for the elderly, the young, and special needs populations 
• Issues in HCI education