-------- Forwarded Message -------- Subject: [AISWorld] Announcing the publication of volume 12 issue 4 of AIS Transactions on Human-Computer Interaction (THCI) Date: Fri, 1 Jan 2021 04:18:21 +0000 From: Nah, Fiona nahf@mst.edu To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org

Announcing the Publication of Volume 12 Issue 4 of AIS Transactions on Human-Computer Interaction (THCI) (http://https://aisel.aisnet.org/thci/)

THCI is ranked "A" in the 2019 Australian Business Deans Council (ABDC) Journal Quality List - https://abdc.edu.au/research/abdc-journal-list/. THCI would like to announce the 2019 Best Paper Award and Best Reviewer Award, which were determined based on nominations from the THCI advisory board and senior editors. THCI would also like to recognize the 2019 Senior Editor of the Year based on outstanding contributions in both handling a high number of papers and providing excellent developmental guidance to manuscript authors.

2019 THCI BEST PAPER AWARD

The 2019 THCI Best Paper Award goes to Renata Santiago Walser, Isabella Seeber, and Ronald Maier for their paper entitled "Designing a Digital Nudge for Convergence: The Role of Decomposition of Information Load for Decision Making and Choice Accuracy" published in issue 3 of volume 11. You can access this paper at https://aisel.aisnet.org/thci/vol11/iss3/5/. 2019 THCI BEST REVIEWER AWARD

The 2019 THCI Best Reviewer Award goes to Mengyao Fu at City University of Hong Kong.

2019 THCI SENIOR EDITOR OF THE YEAR AWARD

The 2019 THCI Senior Editor of the Year Award goes to Torkil Clemmensen at Copenhagen Business School.

Congratulations to Renata Santiago Walser, Isabella Seeber, Ronald Maier, Mengyao Fu, and Torkil Clemmensen!

We hope to continue to receive the best work from the community and thank our advisory board, senior editors, and editorial board members for their continuing support and service.

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The December 2020 issue of THCI comprises one regular paper and four papers on the theme of a special edition on AI fairness, trust, and ethics (i.e., an editorial/introduction to the special edition followed by three papers on the special edition theme). One other paper on the special edition theme will appear in the next issue in March 2021.

The regular paper entitled "Sustaining Patient Engagement: The Role of Health Emotion and Personality Traits in Patient Portal Continuous Use Decision" by Murad Moqbel, Mohammed Sajedur Rahman, Sunyoung Cho, and Barbara Hewitt is a regular paper that examined the influence of health emotion and personality traits on patient portal continuous use. The introduction to the special edition theme on AI fairness, trust, and ethics is co-authored by the co-editors, Lionel P. Robert Jr., Gaurav Bansal, Nigel Melville, and Thomas Stafford, who have produced an outstanding edition. The first paper on the special issue theme is entitled "On Implementing Ethical Principles in Design Science Research" and is co-authored by Ivo Benke, Jasper Feine, John R. Venable, and Alexander Maedche. They reviewed ethical principles and their implementation in design science research and introduced the concept of ethical design science research process models. The second paper on the special issue theme is ent itled "Trust in 'Trust-free' Digital Networks: How Inter-firm Algorithmic Relationships Embed the Cardinal Principles of Value Co-Creation" and is authored by Arindam Das. It identifies and analyzes factors influencing firms' adoption of algorithmic relationships in smart contracts for value co-creation. In the third paper of the special issue theme entitled "Exploring the Intersection of the Digital Divide and Artificial Intelligence: A Hermeneutic Literature Review" by Lemuria Carter, Dapeng Liu, and Caley Cantrell, the authors conducted a hermeneutic literature review, synthesized three theoretical framings at the intersection between the digital divide and AI, and provided a socio-technical framework for addressing the AI divide. Finally, the last paper of the special issue theme which will be published in the next issue in March 2021 is entitled "Understanding the Effect of Task Complexity on Automation Potential and Opacity: Implications for Algorithmic Fairness" and is co-aut hored by M. Vimalkumar, Agam Gupta, Divya Sharma, and Yogesh K. Dwivedi. Given that most of the literature uses a generic notion of algorithms and overlooks the specificity of different algorithms and the typicality of the tasks that they perform, the authors analyzed how variations in complexity of tasks contribute to differences in their automation potential and opacity resulting from their automation. They provided a framework for assessing the likelihood of fairness concerns arising from differences in task complexity along with recommendations for affordances that can help address fairness issues.

You can download the papers from this issue at https://aisel.aisnet.org/thci/vol12/iss4/ or the direct links provided below. You can also download papers in THCI by visiting the AIS E-Library (http://aisel.aisnet.org/) or the journal website at http://aisel.aisnet.org/thci/. ============

In this issue (Volume 12, Issue 4)

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Paper 1 (Introduction to the special edition on AI fairness, trust, and ethics):

Robert, L. P., Gaurav, B., Melville, N. & Stafford, T. (2020). Introduction to the special issue on AI fairness, trust, and ethics. AIS Transactions on Human-Computer Interaction, 12(4), pp. 172-178. DOI: 10.17705/1thci.00134

Available at: https://aisel.aisnet.org/thci/vol12/iss4/1/

Abstract:

It is our pleasure to welcome you to this AIS Transactions on Human Computer Interaction special issue on artificial intelligence (AI) fairness, trust, and ethics. This special issue received research papers that unpacked the potential, challenges, impacts, and theoretical implications of AI. This special issue contains four papers that integrate research across diverse fields of study, such as social science, computer science, engineering, design, values, and other diverse topics related to AI fairness, trust, and ethics broadly conceptualized. This issue contains three of the four papers (along with a regular paper of the journal). The fourth or last paper of this special issue is forthcoming in March 2021. We hope that you enjoy these papers and, like us, look forward to similar research published in AIS Transactions on Human Computer Interaction.

Paper 2 (which is a regular paper that is not part of the special edition):

Moqbel, M., Rahman, M. S., Cho, S., & Hewitt, B. A. (2020). Sustaining Patient Engagement: The Role of Health Emotion and Personality Traits in Patient Portal Continuous Use Decision, AIS Transactions on Human-Computer Interaction, 12(4), pp. 179-205. DOI: 10.17705/1thci.00135

Available at: https://aisel.aisnet.org/thci/vol12/iss4/2/

Abstract:

Healthcare providers increasingly rely on technology, such as patient portals, for asynchronous communication with their patients. Even though clinicians have increasingly adopted patient portals to enhance healthcare quality and reduce cost, few patients continue to use this technology. In this paper, we investigate the effect that individuals' health emotion and personality traits as measured using the five-factor model (FFM) have on patients' intention to continually use patient portals through the lens of emotional dissonance theory. We collected survey data from 187 patients at a major medical center in the Midwestern United States. After we analyzed the data using structural equation modeling, we found that the final model explained 40 percent of the variance in intention to continue to use. Our results suggest that whether individuals continue to use technology depends on their reactions to technology in which health emotions and personality traits play a crucial part. Additio nally, health emotion modifies the effect that personality traits have on patients' intention to continue to use a patient portal. Our study provides healthcare organizations with an integrated view of patient portal use behavior and shows that individual personality traits and health emotion may increase sustainable patient enrollment and engagement.

Paper 3:

Benke, I., Feine, J., Venable, J. R., & Maedche, A. (2020). On Implementing of Ethical Principles in Design Science Research. AIS Transactions on Human-Computer Interaction, 12(4), pp. 206-227. DOI: 10.17705/1thci.00136

Available at: https://aisel.aisnet.org/thci/vol12/iss4/3/

Abstract:

Technological innovations raise axiological questions such as what is right or wrong, good and bad, and so on (i.e., ethical considerations). These considerations have particular importance in design science research (DSR) projects since the developed artifacts often actively intervene into human affairs and, thus, cannot be free from value. To account for this fact, Myers and Venable (2014) proposed six ethical principles for DSR in order to support researchers to conduct ethical DSR. However, ethical principles per se-and the ethical DSR principles that Myers and Venable propose-have an abstract nature so that they can apply to a broad range of contexts. As a consequence, they do not necessarily apply to specific research projects, which means researchers need to contextualize them for each specific DSR project. Because doing so involves much challenge, we explore how contemporary DSR publications have dealt with this contextualization task and how they implemented the six ethical principles for DSR. Our results reveal that DSR publications have not discussed ethical principles in sufficient depth. To further promote ethical considerations in DSR, we argue that both DSR researchers and reviewers should be supported in implementing ethical principles. Therefore, we outline two pathways toward ethical DSR. First, we propose that researchers need to articulate the next generation of ethical principles for DSR using prescriptive knowledge structures from DSR. Second, we propose extending established DSR conceptualizations with an ethical dimension and specifically introduce the concept of ethical DSR process models. With this work, we contribute to the IS literature by reviewing ethical principles and their implementation in DSR, identifying potential challenges hindering efforts to implement ethics in DSR, and providing two pathways towards ethical DSR.

Paper 4:

Das, A. (2020). Trust in "Trust-free" Digital Networks: How Inter-firm Algorithmic Relationships Embed the Cardinal Principles of Value Co-Creation. AIS Transactions on Human-Computer Interaction, 12(4), pp. 228-252. DOI: 10.17705/1thci.00137

Available at: https://aisel.aisnet.org/thci/vol12/iss4/4/ Abstract:

In this exploratory research, I develop new knowledge on trust in inter-firm cooperation that leverages recent technologies such as blockchain and the Internet of things in a digital platform ecosystem. In a digital network, advanced algorithms govern and shape inter-firm business processes. While such algorithms introduce efficiency in inter-firm business processes, their limitations, especially their apparent lack of transparency, may affect the key trust dimensions (i.e., reliability, fairness, and goodwill) in the relationships among the participating firms. I introduce algorithmic relationship, a label that embeds the concepts of smart contracts in inter-firm cooperation. Algorithmic relationships involve autonomous and semi-autonomous implementations of smart contracts in all lifecycle stages of inter-firm cooperation. By analyzing extant literature on trust, inter-firm cooperation, business model innovation, and digital platforms, I demonstrate how various factors influence wh ether firms adopt smart contracts: perceptions about other participants' trustworthiness, participants' own propensity to trust, participants' shared goals and resource embeddedness in the network, perceived risks in inter-firm interactions, and complexity and time criticality of inter-firm interactions. Taking a temporal perspective, I also recognize the present lacunae with smart contracts from various perspectives (algorithm development, algorithm implementation, algorithm governance, and the availability of appropriate legal resources in the event that disputes occur) and demonstrate how these drawbacks impede shared value creation.

Paper 5:

Carter, L., Liu, D., & Cantrell, C. (2020). Exploring the Intersection of the Digital Divide and Artificial Intelligence: A Hermeneutic Literature Review. AIS Transactions on Human-Computer Interaction, 12(4), pp. 253-275. DOI: 10.17705/1thci.00138

Available at: https://aisel.aisnet.org/thci/vol12/iss4/5/ Abstract:

Given the rapid advancements in information communication technology (ICT), researchers and practitioners need to understand the impact that emerging phenomena, such as artificial intelligence (AI), have on existing social and economic challenges. We conducted a hermeneutic literature review to present the current state of the digital divide, developments in AI, and AI's potential impact on the digital divide. We propose three theoretical framings: 1) conceptualizing the divide, 2) modeling the divide, and 3) analyzing the divide. These framings synthesize the digital divide's essence in relation to AI and provide the foundation for a socio-technical research agenda for the digital divide in light of the evolving phenomena of AI.

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Call for Papers - Special Issue on Fake News and Deception (due: January 31, 2021)

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We welcome submissions for a special issue of THCI on Fake News and Deception (http://web.mst.edu/~nahf/cfp.pdf) that is co-edited by Dov Te'eni, Shuk Ying (Susanna) Ho, and Jean-Gregoire Bernard. This call for papers invites submissions that address compelling issues around the fake news and deception phenomena related to the behavior of online users and information consumers on the Internet. It seeks a wide range of research in topics, theory, perspectives, and levels of analysis affected. It welcomes a diversity of methods: qualitative, quantitative, experimental, archival, and design science. The co-editors for the special issue encourage pure HCI-related IS research as well as inter-disciplinary research with partners from journalism, communication, psychology, sociology, political science, and other disciplines.

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Call for Papers - Regular 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

* The elderly, the young, and special needs populations for new applications, modalities, and multimedia interaction

* 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: 4 issues per year to be 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. 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 any time.

Sincerely,

Fiona Fui-Hoon Nah, Editor-in-Chief Gregory D. Moody, Managing Editor ======================================================== Fiona Fui-Hoon Nah, Ph.D. Editor-in-chief, AIS Transactions on Human-Computer Interaction Professor of Business & Information Technology Missouri University of Science and Technology 101 Fulton Hall 301 W 14th Street Rolla, MO 65409 Tel: 573-341-6996 Email: nahf@mst.edu URL: http://people.mst.edu/faculty/nahf/

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