[SIGHCI] Announcing the Publication of Volume 17 Issue 1 (March 2025) of AIS Transactions on Human-Computer Interaction (THCI)

Tue Aug 5 05:24:42 EDT 2025

Announcing the Publication of
Volume 17 Issue 1 of AIS Transactions on Human-Computer Interaction (THCI)
(http://https://aisel.aisnet.org/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 March 2025 issue of THCI comprises five research papers.

The first paper entitled "What Drives User Intention to Continue Using Conversational AI? How Functional and Emotional Values Influence Continuance Intention" by Md Rasel Al Mamun, Oteng Ntsweng, Alsius David, Prince Baah-Peprah, and Victor R. Prybutok drew on the lens of attachment theory and theory of consumption values to assess the effects of functional and emotional values offered by conversational AI on continuance intention using an online survey involving 288 participants.

The second paper entitled "A Discourse Structural Analysis Survey and Taxonomy for Chatbots" by Sagarika Suresh Thimmanayakanapalya, Pavankumar Mulgund, and Raj Sharman carried out a review of 92 scholarly papers that considered discourse-analysis methods for chatbot development and examined the connections between discourse structures and chatbot design dimensions.

The third paper entitled "Combating Survey Bots in Online Research: An Integrative Literature Review of Insights and Strategies" by Anjana Karumathil and Ritu Tripathi conducted a literature review 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 that serve as best practices to researchers and practitioners.

The fourth paper entitled "AI Don't Like It! Investigating the Barriers to Implementation of AI Influencers" by Sudhanshu Bhatt, Dikhita Das, Sana Zehra Kamoonpuri, Sanjeev Varshney, Anita Sengar, Rajita Singh, and Anjali Desai used a survey involving 54 experts and the fuzzy analytical hierarchy process method to identify barriers that impede organizations from adopting AI influencers.

The fifth and last paper entitled "Exploring the Role of Nature Imagery in User Interface Design: Insights from a Qualitative Study" by Ashlea Rendell, Marc T. P. Adam, and Timm Teubner carried out 20 interviews with key stakeholders to formulate recommendations on how system designers can leverage the positive effects of nature imagery in UI design.

You can download the papers in this special issue from https://aisel.aisnet.org/thci/vol17/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 17, Issue 1)

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Paper 1 (Research Paper): What Drives User Intention to Continue Using Conversational AI? How Functional and Emotional Values Influence Continuance Intention

Mamun, M. R. A., Ntsweng, O., David, A., Baah-Peprah, P., & Prybutok, V. (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), pp. 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.

Paper 2 (Research Paper): A Discourse Structural Analysis Survey and Taxonomy for Chatbots

Thimmanayakanapalya, S. S., Mulgund, P., & Sharman, R. (2025). A discourse structural analysis survey and taxonomy for chatbots. AIS Transactions on Human-Computer Interaction, 17(1), pp. 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.

Paper 3 (Research Paper): Combating Survey Bots in Online Research: An Integrative Literature Review of Insights and Strategies

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), pp. 80-109.
DOI: 10.17705/1thci.00218
Available at: https://aisel.aisnet.org/thci/vol17/iss1/3/

Abstract:

Survey bots pose a major challenge to the integrity and quality of online data. 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.

Paper 4 (Research Paper): AI Don't Like It! Investigating the Barriers to Implementation of AI Influencers

Bhatt, S., Das, D., Kamoonpuri, S. Z., 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), pp. 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.

Paper 5 (Research Paper): Exploring the Role of Nature Imagery in User Interface Design: Insights from a Qualitative Study

Rendell, A., Adam, M. T. P., & 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), pp. 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.

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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 visit the links above or the links from our AIS THCI home page (http://aisel.aisnet.org/thci/) for details on special issue calls.

Note that we have a call for papers for a special issue of THCI on Fostering a Synergic and Resilient Human-AI Ecosystem (https://www.dropbox.com/scl/fi/k4uca6asnn33l9pgdd8y6/AIS_AI_SI_proposal-Final-2.25.pdf?rlkey=l4injsoza2u7fmr06wexb6q9b) that is co-edited by Lina Zhou, Jie Tao, Marco Angelini, and Sangseok You (Due: August 30, 2025). This special issue aims to feature contributions that advance synergetic and resilient human-AI ecosystems. We welcome technical discussions and research contributions on the design, development, and socio-technical implications of human-AI partnerships, focusing on achieving synergy, resilience, and ethical considerations within the information systems (IS) context. Please check up the call for papers at https://www.dropbox.com/scl/fi/k4uca6asnn33l9pgdd8y6/AIS_AI_SI_proposal-Final-2.25.pdf?rlkey=l4injsoza2u7fmr06wexb6q9b for more information.

Potential topics include, but are not limited to, the following:

  *   Context-aware and adaptive reasoning for human knowledge integration
  *   Designing explainable and transparent large language model applications
  *   Evaluation of human-AI collaboration
  *   Agentic workflow design for human-AI collaboration
  *   Multi-modal human-AI interaction
  *   Resilience and reliability of human-AI systems
  *   Domain-adaptation of large language models
  *   Human feedback for large language model improvement
  *   AI-enabled real-time collaboration and creativity support
  *   Privacy and security measures in human-agent collaboration
  *   Success technological factors in human-agent collaboration
  *   Emerging mode of human-agent collaboration
  *   Impact of chain-of-thought on large language model adoption
  *   Co-evolution of humans and AI capabilities
  *   Trust and transparency in human-AI partnerships
  *   Personalized agents for human users
  *   Interfaces for human-AI collaboration
  *   Visual analytics for generative AI
  *   Physical and virtual embodiment of AI systems

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<mailto:fionanah at smu.edu.sg>
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