[AISWorld] Publication of Vol. 16 Issue 1 of AIS Transactions on Human-Computer Interaction (THCI)

Wed Apr 3 23:09:53 EDT 2024

Announcing the Publication of
Volume 16 Issue 1 of AIS Transactions on Human-Computer Interaction (THCI)
(http://https://aisel.aisnet.org/thci/)

THCI is ranked "A" in the Australian Business Deans Council (ABDC) Journal Quality List (https://abdc.edu.au/research/abdc-journal-list/).
The January 2024 issue of THCI comprises five research papers. The first paper examined ChatGPT usage and user acceptance by drawing on the extended unified theory of acceptance and use of technology (UTAUT2) and task-technology fit (TTF). The second paper examined situational characteristics influencing users' propensity to seek peer versus expert recommendations on electronic networks of practice. The third paper used the dual-system and salience theories as the lens to study and understand the relationship between social media addiction and sharing without verification as well as the mediating role of absentmindedness and the moderating role of well-being in the relationship. The fourth paper contributes to design practice using a socially aware design framework. The fifth paper assessed the influence of pandemic-induced work exhaustion, computer self-efficacy, and problem-focused coping strategies on contextual performance, innovation with IT, and job satisfaction.
You can download the papers in this issue from https://aisel.aisnet.org/thci/vol16/iss1/ or the direct links provided below. You can also download the papers published in THCI by visiting the AIS E-Library (http://aisel.aisnet.org/) or the journal website at http://aisel.aisnet.org/thci/.

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In this issue (Volume 16, Issue 1)

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Paper 1 (Research Paper): Generative AI, Why, How, and Outcomes: A User Adoption Study

Huy, L. V., Nguyen, H. T. T., Vo-Thanh, T., Thinh, N. H. T., & Tran, D. T. T.(2024). Generative AI, why, how, and outcomes: A user adoption study. AIS Transactions on Human-Computer Interaction, 16(1), pp. 1-27.  DOI: 10.17705/1thci.00198

Available at: https://aisel.aisnet.org/thci/vol16/iss1/1/

Abstract:

Drawing on the extended unified theory of acceptance and use of technology (UTAUT2) and task-technology fit (TTF) theory, we developed an integrated research model to explore the factors affecting ChatGPT use and its subsequent effects on whether users continue using ChatGPT and recommend it to others. We also examined the main activities of ChatGPT use as well as the moderating role of curiosity in the relationships between various influencing factors and ChatGPT use. We conducted a quantitative study with data that we collected from 671 users in Vietnam. We found that, first,mostUTAUT2 and TTF dimensions affectedChatGPT use. Interestingly, contrary to our expectations, effort expectancy, social influence, and trust had no effect on ChatGPT use. Second, ChatGPT use directly influenced intention to continue using ChatGPT and word of mouth (WOM). Third, intention to continue using ChatGPT had a significant effect on WOM. Finally, we found that curiosity acted as a moderator in only three paths from hedonic motivation, facilitating conditions, and performance expectancy to ChatGPT use. With this study, we contribute a unique research model that combines the UTAUT2 and the TTF (including both trust and curiosity) as well as knowledge about users' behavioral process in technology adoption by examining a comprehensive process, namely, actual usage-continuance intention to use-recommending. Practical implications for ChatGPT providers, policymakers, and business marketers are also discussed.

Paper 2 (Research Paper): Experts vs. Peers: The Role of Situational Characteristics in Opinion Seeking on Electronic Networks of Practice

Jensen, M. L., Meservy, T. O., Fadel, K. J., & Crane, C. (2024). Experts vs. peers: The role of situational characteristics in opinion seeking on electronic networks of practice. AIS Transactions on Human-Computer Interaction, 16(1), pp. 28-56. DOI: 10.17705/1thci.00199

Available at: https://aisel.aisnet.org/thci/vol16/iss1/2/

Abstract:

To help information seekers find reliable solutions to their problems, many electronic networks of practice (ENP) forums incorporate contextual cues that provide signals originating from both expert and lay forum users about the quality of solutions. While extant research has explored how these cue sources influence information filtering on ENP forums, results on their relative impact remain fragmented and often contradictory. In this study, we draw on situation theory to examine how six situational characteristics influence individuals' propensity to rely on peer vs. expert recommendations. We asked participants to rate the characteristics of 20 situations and then report the extent to which they would rely on expert and peer recommendations. Based on 261 survey responses, we found that participants relied more on expert recommendations when seeking information for situations that they perceive as stressful, requiring greater cognitive processing, task-oriented, or threatening. They preferred peer recommendations for situations that they perceived as fun or mundane. These results demonstrate the importance of situational characteristics in decisions about advice seeking, partly explain conflicting findings in information search research, and offer community-building guidance for ENP platform owners as they manage their forums. However, these results also reveal a large variation in personal preferences, which requires additional inquiry.

Paper 3 (Research Paper): Demystifying the Link between Social Media Addiction and Sharing without Verification: The Role of Absentmindedness and Wellbeing

Moqbel, M., Alshare, A. K., Michael, A. M. (2024). Demystifying the link between social media addiction and sharing without verification: The role of absentmindedness and wellbeing. AIS Transactions on Human-Computer Interaction, 16(1), pp. 57-79. DOI: 10.17705/1thci.00200

Available at: https://aisel.aisnet.org/thci/vol16/iss1/3/

Abstract:

We use salience and dual-system theories as the lens to investigate how (via which intervening mechanism) and when (under what condition(s)) social media addiction impacts unverified information sharing. Based on results from analyzing data from 234 social media users, we found that social media addiction augments unverified information sharing, and that absentmindedness partially mediates this relationship. Furthermore, we establish that wellbeing status buffers the harmful impact of social media addiction on unverified information sharing and absentmindedness.

Paper 4 (Research Paper): Socially Aware Systems Design: A Perspective Towards Technology-society Coupling

Baranauskas, M. C. C., Pereira, R., & Bonacin, R. (2024). Socially aware systems design: A perspective towards technology-society coupling. AIS Transactions on Human-Computer Interaction, 16(1), 80-109. DOI: 10.17705/1thci.00201

Available at: https://aisel.aisnet.org/thci/vol16/iss1/4/

Abstract:

Computing systems have a tremendous influence on how we understand the world. Due to its ubiquity and pervasiveness over the past decade, computing technology has created societal challenges (e.g., related to justice, sustainability, ethics, peace) that demand we reexamine how we design computer-based systems. Drawing on a phenomenological understanding of the human-technology-society relation, this work contributes to the discussion on such challenges and to design practice with a framework we call socially aware design (SAwD). We developed this framework to bring awareness to the human-technology-society relation in the design process. In this paper, we present the framework's main concepts, its underlying worldview, and its methodological base with reference to its origins. We illustrate the framework with design practices that we have experienced in designing systems in diverse situations. We also summarize key aspects of the proposed human-technology-society coupling relevant to the practice of technology design as a social phenomenon, which might open new agendas in the field.

Paper 5 (Research Paper): Thriving with Remote Work During a Crisis: Effects of a Mandatory Technology-mediated Work Environment on Job Outcomes

Zaza, S., & Erskine, M. A. (2024). Thriving with Remote Work During a Crisis: Effects of a Mandatory Technology-Mediated Work Environment on Job Outcomes. AIS Transactions on Human-Computer Interaction, 16(1), pp. 110-138. DOI: 10.17705/1thci.00202

Available at: https://aisel.aisnet.org/thci/vol16/iss1/5/

Abstract:

Most workers had to adapt to a technology-mediated work environment due to various restrictions and mandates imposed on the workforce due to the coronavirus disease of 2019 (COVID-19) pandemic. Workers often thrived in this "new normal" work environment even when they lacked ordinarily available comprehensive technical support. Under such circumstances, we need to understand how effective coping with crises can result in positive employee outcomes. Inspired by the transactional model of stress and coping (TMSC) and the job demands-resources (JD-R) model, we developed a conceptual model to assess the influence of pandemic-induced work exhaustion, computer self-efficacy, and problem-focused coping strategies on contextual performance, innovation with IT, and job satisfaction. We tested our model using an online survey of 170 workers who adapted to a mandatory computer-mediated work environment due to the COVID-19 pandemic. Our findings indicate that problem-focused coping strategies in the context of sudden, unplanned, and mandatory technology-mediated work led to positive employee outcomes. Our research enhances our knowledge about how displaced workers adapt to emergent norms in a technologically mediated work environment when disruptive global crises occur. We also propose avenues for future research and offer practical guidance for organizations adapting to the evolving workforce landscape and preparing for potential crises in their contingency plans and risk-management strategies.

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Call for Papers

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THCI is one of the journals in the AIS (Association for Information Systems) e-library at http://aisel.aisnet.org/thci. THCI is a high-quality peer-reviewed international scholarly journal on Human-Computer Interaction. As an AIS journal, THCI is oriented to the Information Systems community, emphasizing HCI/UX applications in business, managerial, organizational, and cultural contexts. However, it is open to all related communities that share intellectual interests in HCI phenomena and issues. The editorial objective is to enhance and communicate knowledge about the interplay among humans, information, technologies, and tasks in order to guide the development and use of human-centered Information and Communication Technologies (ICT) and services for individuals, groups, organizations, and communities.

To increase awareness and readership, THCI is still freely available to the public, which is beneficial to the authors and the community. You can find information related to all aspects of THCI at its website (http://aisel.aisnet.org/thci), including how to submit manuscripts for publication consideration. We would like to thank the AIS Council (http://www.aisnet.org/) for its continued support of the journal. And, as always, we are happy to announce that we have published the journal on time for every issue, and are building a strong case for a solid impact factor when released by SSCI and Scopus in the near future. The quality of THCI is affirmed by its inclusion as an "A" journal in the Australian Business Deans Council (ABDC) journal quality list.

Topics of interest to THCI include but are not limited to the following:

*   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

The language for the journal is English. The audience includes international scholars and practitioners who conduct research on issues related to the objectives of the journal. The publication frequency is quarterly: four issues per year that are published in March, June, September, and December. The AIS Special Interest Group on Human-Computer Interaction (SIGHCI, http://sighci.org/) is the official sponsor of THCI.

Sincerely,

Fiona Fui-Hoon Nah, Editor-in-chief

Gregory D. Moody, Managing Editor

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Fiona Fui-Hoon Nah, Ph.D.

Editor-in-chief, AIS Transactions on Human-Computer Interaction

Professor, City University of Hong Kong
Email: fiona.nah at city.edu.hk<mailto:fiona.nah at city.edu.hk>

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