[AISWorld] Publication of Vol. 16 Issue 2 of AIS Transactions on Human-Computer Interaction (THCI)

Mon Jul 1 13:17:08 EDT 2024

Announcing the Publication of
Volume 16 Issue 2 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 ranked "B" in the VHB Journal Quality List (https://www.vhbonline.org/fileadmin/user_upload/VHB_Rating_2024_Area_rating_WI.pdf)
The June 2024 issue of THCI comprises four research papers. The first paper identified risk factors leading to negative consequences in AI. The second paper identified factors influencing the use of auction sites versus barter sites. The third paper showed how technology-related factors on web-based assessment platforms influence student motivation, which in turn increases student engagement. The fourth paper demonstrated the effect of verified and incentive badges on consumer trust with online review platforms.
You can download the papers in this issue from https://aisel.aisnet.org/thci/vol16/iss2/ 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 2)

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Paper 1 (Research Paper): What Went Wrong? Identifying Risk Factors for Popular Negative Consequences in AI

Sharma, M., Biros, D., Baham, C., & Biros, J. (2024). What went wrong? Identifying risk factors for popular negative consequences in AI. AIS Transactions on Human-Computer Interaction, 16(2), pp. 139-176.  DOI: 10.17705/1thci.00203

Available at: https://aisel.aisnet.org/thci/vol16/iss2/1/

Abstract:

The technologies that we have come to know as artificial intelligence (AI), such as machine learning, deep learning, computer vision, and natural language processing, are becoming general-purpose tools that significantly impact organizational and societal economic and social structures. However, that impact has not been entirely positive. We have already seen many projects where undesirable or negative consequences of AI systems have harmed their respective organizations in social, financial, and legal spheres. In this study, we examine common intended objectives and risk factors that lead to negative consequences in AI. Using a qualitative approach, we propose a unifying theoretical framework for negative consequences in AI projects. We analyzed 840 quotes from key informants about 30 unique AI projects using multiple news articles for each project. We identified intended objectives for implementing AI systems that lead to negative consequences through various linking risk factors.

Paper 2 (Research Paper): Exploring Differences in the Decision-making Process between Online Auction Sellers and Barter Site Exchangers

Hsieh, P. H. & Hu, T. C. (2024). Exploring differences in the decision-making process between online auction sellers and barter site exchangers. AIS Transactions on Human-Computer Interaction, 16(2), pp. 177-215. DOI: 10.17705/1thci.00204

Available at: https://aisel.aisnet.org/thci/vol16/iss2/2/

Abstract:

Prior studies that have examined consumer behavior have focused more on purchasing intention than selling intention. Sellers hold certain personal values or economic views when selling their second-hand products on auction sites, and so do barter site exchangers, but the latter have values that differ from the former. In this study, we investigate how second-hand owners (sellers or exchangers) determine whether to place an item on an auction or barter site. Based on the Engel-Kollat-Blackwell model, we used a validated questionnaire to explore several internal and external factors. We found that four factors-perceived product condition, reference group, online word of mouth, and reference price-supported both the intention to use auction sites and their actual use, while we found two factors-personal value and reference group-supported barter site use. We used functional magnetic resonance imaging to further observe how utilitarian and hedonic personal values have different effects on sellers' brain activities and decision-making behaviors regarding site choice.

Paper 3 (Research Paper): Boosting Students' Engagement with Web-based Assessment Platforms: A Self-determination Theory Perspective

Merhi, M. I., & Meisami, A. (2024). Boosting students' engagement with web-based assessments platforms: A self-determination theory perspective. AIS Transactions on Human-Computer Interaction, 16(2), pp. 216-236. DOI: 10.17705/1thci.00205

Available at: https://aisel.aisnet.org/thci/vol16/iss2/3/

Abstract:

We examine the connection between technology components, student motivation, and engagement with Web-based assessment platforms. Technology components include feedback, functionality, and response. We built a research model on the motivational technology model as the overarching theory for our investigation. We collected data from 313 undergraduate business students from one Midwestern American institution and analyzed it using CB-SEM. The findings indicate that technology-related factors influence individuals' motivation (namely, competence and autonomy), which, in turn, impacts engagement. We discuss the results and their implications for research and practice. Additionally, we address the limitations and identify future research opportunities.

Paper 4 (Research Paper): Mixed Messages: An Examination of Reviewer Badges and Consumer Trust with Online Review Platforms

Nguyen, L. T., Hess, T. J., Sheffler, Z. J., & Liu, Y. (2024). Mixed Messages: An Examination of Reviewer Badges and Consumer Trust with Online Review Platforms. AIS Transactions on Human-Computer Interaction, 16(2), pp. 237-271. DOI: 10.17705/1thci.00206

Available at: https://aisel.aisnet.org/thci/vol16/iss2/4/

Abstract:

Online reviews play a critical role in online shopping platforms by helping consumers make efficient shopping decisions despite the limited experiential information that online shopping forums provide. While platforms provide incentives to encourage consumers to write online reviews, consumers need additional information or cues about reviewers to build consumer trust and meet disclosure requirements about using incentives. This paper examines such disclosures in the form of two reviewer badges-the verified badge and the incentive badge-to better understand how badges, individually and jointly together, influence trust. We draw on the elaboration likelihood model (ELM) to investigate badges as peripheral cues and online review quality as a central cue in an online shopping scenario. We conducted two experimental studies to examine the effect that badges, when presented individually and together, had on consumers' trusting beliefs, trusting attitude, and behavioral intentions. The verified badge increased trusting beliefs and the incentive badge largely decreased trusting beliefs, with both cues moderating (decreasing) the effect of argument quality on trusting beliefs when badges were presented individually. When we presented these mixed cues together, study participants directed their attention back to argument quality to resolve the ambiguity from mixed cues. While benevolence, integrity, and competence trusting beliefs were all influenced by the two badges, competence beliefs predominantly influenced trusting attitude.

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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.

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Please 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, City University of Hong Kong (Before 9 July 2024)

Professor, Singapore Management University (After 8 July 2024)
Email: fiona.nah at city.edu.hk; fionanah at smu.edu.sg

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