[AISWorld] Publication of Vol. 15 Issue 1 of AIS Transactions on Human-Computer Interaction (THCI)

[Prof. Fiona Nah]

Announcing the Publication of
Volume 15 Issue 1 of AIS Transactions on Human-Computer Interaction (THCI)
 (http://https://aisel.aisnet.org/thci/)

The March 2023 issue of THCI comprises four research articles and one research commentary.

The first paper “Overcoming Challenges to Enable the Potential of Metaverse Platforms: A Qualitative Approach to Understand Value Creation” by Sofia Marlena Schöbel and Fabian Tingelhoff interviewed 34 metaverse experts to identify the challenges, potential, and value associated with the metaverse. The second paper “Theory-driven Visual Design to Support Reflective Dietary Practice via mHealth: A Design Science Approach” by Nadja Leipold, Hanna Hauptmann, Markus Böhm, Mira Madenach, Martin Lurz, Georg Groh, Kurt Gedrich, and Helmut Krcmar developed theory-driven guidelines for “reflection-in-action” and “reflection-on-action.” The third paper “Gender Effects in Directed versus Incidental Learning in a 3D Virtual World Simulation” by Surinder Kahai, Rebecca Jestice, and Rui Huang conducted an experiment and found that incidental learning benefits women and directed learning benefits men in the virtual world. The fourth paper “Integrating the Expanded Task-technology Fit Theory and the Technology Acceptance Model: A Multi-wave Empirical Analysis” by Matt C. Howard and Joseph F. Hair Jr. shows that an expanded task-technology fit theory that breaks down fit into too few versus too many features explains meaningful variance in the technology acceptance model, suggesting their integration to better understand technology use. The fifth and last paper “From Artificial Intelligence (AI) to Intelligence Augmentation (IA): Design Principles, Potential Risks, and Emerging Issues” by Lina Zhou, Cynthia Rudin, Matthew Gombolay, Jim Spohrer, Michelle Zhou, and Souren Paul provided a framework for designing intelligent augmentation systems that address six central questions: why, what, who/whom, how, when, and where.

You can download the papers in this issue from https://aisel.aisnet.org/thci/vol15/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/.

============

In this issue (Volume 15, Issue 1)

============

Paper 1: Overcoming Challenges to Enable the Potential of Metaverse Platforms: A Qualitative Approach to Understand Value Creation

Schöbel, S., & Tingelhoff, F. (2023). Overcoming challenges to enable the potential of metaverse platforms: A qualitative approach to understand value creation. AIS Transactions on Human-Computer Interaction, 15(1), pp. 1-21. DOI: 10.17705/1thci.00181

Available at: https://aisel.aisnet.org/thci/vol15/iss1/1/

Abstract:

Metaverse is the buzzword of modern society. Practitioners and researchers have discussed metaverse platforms extensively, but the potential and meaning of the metaverse remain controversial. In this paper, we investigate and identify challenges that enable the potential of metaverse platforms. If these challenges are overcome, there will be value creation for practitioners, organizations, and society. We used a qualitative approach whereby we interviewed 34 metaverse experts to identify the challenges, potential, and value associated with the metaverse. Our results demonstrate that technical and societal challenges obstruct the ability to handle user-related and organizational challenges. If these challenges can be overcome, we can use the opportunities that our participants identified to create functional, social, and emotional value. Our work theoretically contributes to current knowledge on metaverse platforms by elaborating on handling metaverse platform ecosystems and determining instrumental challenges in their realization. With our qualitative approach, we provide room and directions for future research to develop a better understanding of the role and meaning of value creation in the metaverse. Our findings are useful to practitioners by presenting challenges organizations must overcome to create metaverse platforms or participate in a metaverse ecosystem. Furthermore, we present opportunities for vendors of metaverse platforms and organizations by identifying relevant processes that can be transferred into the metaverse.


Paper 2: Theory-driven Visual Design to Support Reflective Dietary Practice via mHealth: A Design Science Approach

Leipold, N., Hauptmann, H., Böhm, M., Madenach, M., Lurz, M., Groh, G., Gedrich, K., Krcmar, H. (2023). Theory-driven visual design to support reflective dietary practice via mHealth: A design science approach. AIS Transactions on Human-Computer Interaction, 15(1), pp. 22-54. DOI: 10.17705/1thci.00182

Available at: https://aisel.aisnet.org/thci/vol15/iss1/2/

Abstract:

Design for reflection in human-computer interaction (HCI) has evolved from focusing on an abstract and outcome-driven design subject towards exposing procedural or structural reflection characteristics. Although HCI research has recognized that an individual's reflection is a long-lasting, multi-layered process that can be supported by meaningful design, researchers have made few efforts to derive insights from a theoretical perspective about appropriate translation into end-user visual means. Therefore, we synthesize theoretical knowledge from reflective practice and learning and argue for a differentiation between time contexts of reflection that design needs to address differently. In an interdisciplinary design-science-research project in the mHealth nutrition promotion context, we developed theory-driven guidelines for “reflection-in-action” and “reflection-on-action”. Our final design guidelines emerged from prior demonstrations and a final utility evaluation with mockup artifacts in a laboratory experiment with 64 users. Our iterative design and the resulting design guidelines offer assistance for addressing reflection design by answering reflective practice’s respective contextual requirements. Based on our user study, we show that reflection in terms of “reflection-in-action” benefits from offering actionable choice criteria in an instant timeframe, while “reflection-on-action” profits from the structured classification of behavior-related criteria from a longer, still memorable timeframe.


Paper 3: Gender Effects in Directed versus Incidental Learning in a 3D Virtual World Simulation

Kahai, S., Jestice, R., & Huang, R. (2023). Gender effects in directed versus incidental learning in a 3D virtual world simulation. AIS Transactions on Human-Computer Interaction, 15(1), pp. 55-82. DOI: 10.17705/1thci.00183

Available at: https://aisel.aisnet.org/thci/vol15/iss1/3/

Abstract:

Virtual worlds have the potential to enable and enhance online learning outcomes. Because learning in three-dimensional (3D) designed learning spaces depends on learners’ spatial processing abilities, we need to understand how these abilities may affect online learning outcomes. Building on the hunter-gatherer theory of gender difference in spatial abilities, we examined how gender interacts with learning type (directed vs. incidental) to affect learning in virtual world (VR) simulations of objects. Specifically, we theorized that men’s and women’s spatial abilities would lead to differential outcomes based on the type of learning that the instructor designed. Using a between-subjects 2 x 2 factorial design (directed vs. incidental learning and male vs. female), we found that incidental learning benefitted women and that directed learning benefitted men. Our findings counter the traditional view that males outperform females in learning tasks that engage spatial abilities in a virtual world. We urge educators to consider such gender effects on learning when employing VR simulations of objects.


Paper 4: Integrating the Expanded Task-technology Fit Theory and the Technology Acceptance Model: A Multi-wave Empirical Analysis

Howard, M. C. & Hair, J. F. (2023). Integrating the expanded task-technology fit theory and the technology acceptance model: A multi-wave empirical analysis. AIS Transactions on Human-Computer Interaction, 15(1), pp. 83-110. DOI: 10.17705/1thci.00184

Available at: https://aisel.aisnet.org/thci/vol15/iss1/4/

Abstract:

Task-technology fit theory proposes that the match between tasks and technologies, known as task-technology fit, has a positive relation with technology use and performance.  Researchers have recently extended task-technology fit theory by conceptualizing task-technology misfit, which describes instances in which technology provides too few (too little) or too many (too much) features to perform a task. We link this newly expanded theory, which we label expanded task-technology fit (E-TTF) theory, with the technology acceptance model (TAM). We conducted a study and found that task-technology fit and too little significantly related to the variables in the TAM and that each ultimately had an indirect effect on use. In contrast, too much did not significantly relate to any variable in the TAM. These results support that E-TTF theory explains meaningful variance in the TAM, which suggests that integrating these theories is important for understanding technology use. Likewise, these results emphasize the importance of the multidimensional conceptualization that the E-TTF theory proposes. Too little (too few features) predicted outcomes beyond task-technology fit and meaningfully improved our model’s predictive abilities. In contrast, too much’s (too many features) relationships lacked significance, which emphasizes the need to distinguish types of task-technology misfit. Therefore, our study provides benefits for research on E-TTF theory, the TAM, and their integration.


Paper 5: From Artificial Intelligence (AI) to Intelligence Augmentation (IA): Design Principles, Potential Risks, and Emerging Issues

Zhou, L., Rudin, C., Gombolay, M., Spohrer, J., Zhou, M., & Paul, S. (2023). From artificial intelligence (AI) to intelligence augmentation (IA): Design principles, potential risks, and emerging issues. AIS Transactions on Human-Computer Interaction, 15(1), pp. 111-135. DOI: 10.17705/1thci.00185

Available at: https://aisel.aisnet.org/thci/vol15/iss1/5/

Abstract:

We typically think of artificial intelligence (AI) as focusing on empowering machines with human capabilities so that they can function on their own, but, in truth, much of AI focuses on intelligence augmentation (IA), which is to augment human capabilities. We propose a framework for designing intelligent augmentation (IA) systems and it addresses six central questions about IA: why, what, who/whom, how, when, and where. To address the how aspect, we introduce four guiding principles: simplification, interpretability, human-centeredness, and ethics. The what aspect includes an IA architecture that goes beyond the direct interactions between humans and machines by introducing their indirect relationships through data and domain. The architecture also points to the directions for operationalizing the IA design simplification principle. We further identify some potential risks and emerging issues in IA design and development to suggest new questions for future IA research and to foster its positive impact on humanity.

===========================

Call for Papers

===========================

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.

====================================================================

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 Immersion, Presence, and Flow (https://docs.google.com/document/d/1wLzZyU-8agiBX7bztfiGQo-fljN553ep/) that is to be co-edited by Yi Maggie Guo, Fiona Nah, and Marshall Scott Poole (Due: 15 March 2024). The goal of this special issue is to address the phenomenon of immersion, presence, and flow to enhance our understanding of human computer interaction or to extend the flow theory in the context of user experience, especially with regards to how the theory has been applied and advanced in information systems research.

Potential topics include, but are not limited to, the following:
•       Critical review of flow research in IS
•       Advances in measuring flow experience
•       Flow and immersive experience with emerging technologies, such as Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR)
•       Flow experience beyond individuals
•       Flow experience in business education
•       Flow and performance in organizations
•       Determinants of the intensity and duration of the flow experience
•       Factors detrimental to attaining and prolonging flow states

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
=======================================================
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


Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited.