[SIGHCI] Announcing the Publication of Volume 17 Issue 4 (December 2025) of AIS Transactions on Human-Computer Interaction (THCI)

Tue Jan 6 03:59:51 EST 2026

Announcing the Publication of
Volume 17 Issue 4 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/)

THCI is indexed in SCOPUS and CLARIVATE/WEB OF SCIENCE

The December 2025 issue of THCI comprises four research papers.

The first paper, "Adoption of ChatGPT in Organizations: Technology Affordance and Constraints Theory Perspective" by Atul Arun Pathak and Kapil Kaushik, draws on Technology Affordance and Constraints Theory and employs a multi-method approach-combining focus group discussions and a survey-to examine the adoption of ChatGPT in the workplace.

The second paper, "Designing User Interfaces of Mobile Apps for Older Adults: Literature Review and Design Guidelines" by Jacqueline Bailey, Marc Adam, Geoffrey Hookham, and Minah Gaviola, presents a scoping review that synthesizes design considerations for developing mobile applications tailored to older users.

The third paper, "Dialing for Dollars or Defaulting Online? Assessing Borrower Risk through Call Activity and Social Media Engagement in Microfinance" by Hualong Yang, Yuechen Ou, Le Wang, and Ben Choi, applies the concepts of bonding and bridging capital in Social Capital Theory to study the relationships between borrowers' online social activity, phone call activity, and default behavior on micro-lending platforms.

The fourth and last paper of the issue, "Smart Healthcare Systems Use: A Cross-cultural Empirical Study Using Valence-Instrumentality-Expectancy Theory" by Khaled Alshare, Murad Moqbel, Valerie Bartelt, and Maysoon Sewailem, draws on Valence-Instrumentality-Expectancy Theory to examine motivational factors influencing the use of smart healthcare systems and the moderating role of social support across two cultural contexts: the United States and Qatar.

You can download the papers in this special issue from https://aisel.aisnet.org/thci/vol17/iss4/ 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 17, Issue 4)

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Paper 1 (Research Paper): Adoption of ChatGPT in Organizations: Technology Affordance and Constraints Theory Perspective

Pathak, A. A., & Kaushik, K. (2025). Adoption of ChatGPT in organizations: Technology affordance and constraints theory perspective. AIS Transactions on Human-Computer Interaction, 17(4), pp. 448-483.
DOI: 10.17705/1thci.00232
Available at: https://aisel.aisnet.org/thci/vol17/iss4/1/

Abstract:

We investigate the factors influencing knowledge workers' intention to adopt ChatGPT in the workplace. Using technology affordance and constraints theory, along with focus group discussions, we identify three ChatGPT affordances (i.e., automatability, information quality, and productivity) and two constraints (i.e., perceived risk and lack of regulation) for early-stage users. Using a survey approach, we examine how these affordances and constraints influence the psychological perceptions of ChatGPT, which in turn affect adoption intention. We also explore the role of personal innovativeness and organizational innovation culture in moderating the effects on adoption intention. Our findings indicate that the three ChatGPT affordances positively influence perceptions of ChatGPT's effectiveness, whereas the lack of regulation is a constraint that increases discomfort with using ChatGPT. Furthermore, personal innovativeness enhances the positive effect of perceived ChatGPT's effectiveness on adoption intention and mitigates the negative impact of discomfort with using ChatGPT. This study provides valuable insights and implications for generative AI researchers and managers seeking to effectively leverage ChatGPT in the workplace.

Paper 2 (Research Paper): Designing User Interfaces of Mobile Apps for Older Adults: Literature Review and Design Guidelines

Bailey, J. D., Adam, M. T. P., Hookham, G. T., & Gaviola, M. A. (2025). Designing user interfaces of mobile apps for older adults: Literature review and design guidelines. AIS Transactions on Human-Computer Interaction, 17(4), pp. 484-522.
DOI: 10.17705/1thci.00233
Available at: https://aisel.aisnet.org/thci/vol17/iss4/2/

Abstract:

While the widespread adoption of smartphone and tablet devices has led to a rapid proliferation of mobile apps, these apps seldom feature user interfaces geared towards older users (i.e., 60 years and older). In this paper, we report on a scoping review that we conducted to investigate what design considerations researchers consider when developing mobile apps for older users. Structured along the transmission model of communication, we conceptualize users' interaction with mobile apps as a bidirectional communication process that involves source, transmitter, receiver, and destination. Building on this conceptualization, we synthesize the considerations that the reviewed studies applied in their mobile app design for older users and provide design guidelines in the form of a practical checklist for system developers. Our findings provide important insights into the challenges that researchers encounter when designing mobile apps for older users and how they can address these challenges.

Paper 3 (Research Paper): Dialing for Dollars or Defaulting Online? Assessing Borrower Risk through Call Activity and Social Media Engagement in Microfinance

Yang, H., Ou, Y., Wang, L., & Choi, B. (2025). Dialing for dollars or defaulting online? Assessing borrower risk through call activity and social media engagement in microfinance. AIS Transactions on Human-Computer Interaction, 17(4), pp. 523-549.
DOI: 10.17705/1thci.00234
Available at: https://aisel.aisnet.org/thci/vol17/iss4/3/

Abstract:

The inability to assess borrowers' default behavior severely threatens the development of micro-lending platforms. Call activity and online social activity, as important components of soft information, have great potential for assessing borrowers' default risk. Although a wealth of literature on microfinance explores the relationship between borrowers' call activity and default behavior, few studies have focused on borrowers' online social activity and combined the two types of information to assess their default risk. This study explores the impact of borrowers' call activity (call activity frequency and call activity stability) and online social activity (online social activity frequency and online social activity stability) on the default behavior of borrowers on micro-lending platforms based on bonding and bridging capital in social capital theory. We collected 154,579 loan records from 10 micro-lending platforms in Indonesia as research data, constructed an empirical research model to verify our hypotheses, and used multiple robustness tests to demonstrate the consistency of the results. The empirical results show that call activity frequency and call activity stability have a significant negative impact on default behavior. In contrast, online social activity frequency and online social activity stability have a significant positive impact on default risk. Our results not only contribute to social capital theory and relevant research on microfinance but also provide practical insights for improving the credit assessment model of micro-lending platforms.

Paper 4 (Research Paper): Smart Healthcare Systems Use: A Cross-Cultural Empirical Study Using Valence-Instrumentality-Expectancy Theory

Alshare, K., Moqbel, M., Bartelt, V., & Sewailem, M. (2025). Smart healthcare systems use: A cross-cultural empirical study using valence-instrumentality-expectancy theory. AIS Transactions on Human-Computer Interaction, 17(4), pp. 550-580.
DOI: 10.17705/1thci.00235
Available at: https://aisel.aisnet.org/thci/vol17/iss4/4/

Abstract:

In recent years, smart healthcare systems (SHS) spurred by the Internet of things have revolutionized how people manage their health. Despite their numerous benefits, SHS still face many challenges worldwide, including limited user motivation. This study builds on the valence-instrumentality-expectancy theory to examine the motivational factors influencing the use of SHS, while also considering the moderating role of social support. We conducted two studies-one in the United States and the other in Qatar-to assess how well the proposed model applies across different cultural contexts. Our findings show that the model explains users' motivations to use SHS and the interdependencies between the valence-instrumentality-expectancy theory and factors like social support, self-efficacy, and trust in the system. Moreover, we highlight the significance and implications of cultural differences in the model. This study is among the first to investigate the motivational factors behind SHS use through cross-cultural samples, offering valuable insights for global SHS providers.

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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 made 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. 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.

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Please continue to check the AIS THCI home page (http://aisel.aisnet.org/thci/) to see what is brewing! If you have an idea for a special issue, please drop us a line.

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 of Information Systems, Singapore Management University
Email: fionanah at smu.edu.sg
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