Cfp April 2021

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Fwd: [AISWorld] Announcing the publication of volume 13 issue 1 of AIS Transactions on Human-Computer Interaction (THCI)
by Gustaf Neumann 01 Apr '21

01 Apr '21

-------- Forwarded Message -------- Subject: [AISWorld] Announcing the publication of volume 13 issue 1 of AIS Transactions on Human-Computer Interaction (THCI) Date: Thu, 1 Apr 2021 04:13:01 +0000 From: Nah, Fiona <nahf(a)mst.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Announcing the Publication of Volume 13 Issue 1 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/ with an acceptance rate of 7.61% (excluding special issues) in Year 2020. The March 2021 issue of THCI comprises one editorial and four papers on the special issue theme on Design Science Research in Human-Computer Interaction that was co-edited by Marc T. P. Adam, Shirley Gregor, Alan Hevner, and Stefan Morana. The March 2021 issue also comprises a paper on the special issue theme on AI Fairness, Trust, and Ethics in which three other papers on this theme were published in the December 2020 issue (vol. 12, no. 4). The editorial and four papers on the special issue theme on Design Science Research in Human-Computer Interaction are: 1. "Design Science Research Modes in Human-Computer Interaction Projects" by Marc T. P. Adam, Shirley Gregor, Alan Hevner, and Stefan Morana 2. "CASSI: Designing a Simulation Environment for Vehicle Relocation in Carsharing" by Christoph Prinz, Mathias Willnat, Alfred Benedikt Brendel, Sascha Lichtenberg, and Lutz Kolbe 3. "Designing and Evaluating a Collaborative Writing Process with Gamification Elements: Toward a Framework for Gamifying Collaboration Processes" by Christina Wiethof, Navid Tavanapour, and Eva A. C. Bittner 4. "Gamification: Explaining Brand Loyalty in Mobile Applications" by Jens Mattke and Christian Maier 5. "Understanding the Impact that Response Failure has on How Users Perceive Anthropomorphic Conversational Service Agents: Insights from an Online Experiment" by Stephan Diederich, Tim-Benjamin Lembcke, Alfred Benedikt Brendel, and Lutz M. Kolbe The paper on the special issue theme on AI Fairness, Trust, and Ethics is: "Understanding the Effect that Task Complexity has on Automation Potential and Opacity: Implications for Algorithmic Fairness" by M. Vimalkumar, Agam Gupta, Divya Sharma, and Yogesh K. Dwivedi You can download the papers from this issue at https://aisel.aisnet.org/thci/vol13/iss1/ 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 13, Issue 1) ============ Paper 1 (Introduction to the special edition on design science research in human-computer interaction): Adam, M. T. P., Gregor, S., Hevner, A., & Morana, S. (2021). Design science research modes in human-computer interaction projects. AIS Transactions on Human-Computer Interaction, 13(1), pp. 1-11. DOI: 10.17705/1thci.00139 Available at: https://aisel.aisnet.org/thci/vol13/iss1/1/ Abstract: In this editorial, we introduce the special issue on design science research in human-computer interaction with four papers extended from the 2020 European Conference on Information Systems and propose a conceptual model for such research projects. Research in the interdisciplinary human-computer interaction (HCI) discipline advances knowledge of how humans interact with technologies, systems, information, and work structures. Design science research (DSR) methods support three distinct modes in HCI projects. In the interior mode, researchers build and evaluate novel technical solutions with a focus on improved system interfaces to support effective human use. Next, in the exterior mode, researchers build and evaluate novel behavioral solutions with a process focus on interactions that increase human capabilities. Lastly, in the gestalt mode, researchers build and evaluate novel composite solutions that improve synergies between technologies and human behaviors. We pose a comprehensi ve model for identifying the DSR modes of HCI research with related artifacts, evaluation techniques, design theories, and research impacts. Paper 2 (Design science theme): Prinz, C., Willnat, M., Brendel, A. B., Lichtenberg, S., & Kolbe, L. M. (2021). CASSI: Design of a simulation environment for vehicle relocation in carsharing. AIS Transactions on Human-Computer Interaction, 13(1), pp. 12-37. DOI: 10.17705/1thci.00140 Available at: https://aisel.aisnet.org/thci/vol13/iss1/2/ Abstract: Simulations offer an efficient solution to represent operational services and track the impact of changing systematic factors and business constraints. Carsharing services provide users with mobility services on demand. Although research has introduced strategies to optimize efforts to set up and operate such a system, they lack reusable and flexible simulation environments. For instance, carsharing research applies simulations to better understand and solve the problem of balancing vehicle supply and demand, which operators need to solve to prevent operational inefficiencies and ensure customer satisfaction. Hence, one cannot feasibly test new balancing mechanisms directly in a real-world environment. As for now, researchers have implemented simulations from scratch, which results in high development efforts and a limited ability to compare results. In this paper, we address this gap by designing a versatile carsharing simulation tool that researchers can easily use and adapt. The t ool simplifies the process of modeling a carsharing system and developing operation strategies. Furthermore, we propose various system performance measures to increase the developed solutions' comparability. Paper 3 (Design science theme): Wiethof, C., Tavanapour, N., & Bittner, E. A. C. (2021). Design and evaluation of a collaborative writing process with gamification elements: Toward a framework for gamifying collaboration processes. AIS Transactions on Human-Computer Interaction, 13(1), pp. 38-61. DOI: 10.17705/1thci.00141 Available at: https://aisel.aisnet.org/thci/vol13/iss1/3/ Abstract: In this study, we examine the influence that gamification elements have on collaboration processes in terms of whether they increase intention to continue to use the system based on meaningful engagement and hedonic motivation as well as outcome quality. Therefore, we review gamification models and principles for information systems and consolidate them in a preliminary framework. We then evaluate how one can supplement the collaboration process for collaborative story writing with gamification elements based on the framework. Additionally, we consider specific gamification elements to successfully accomplish the process. To do so, we conducted action design research in a common iterative structure. First, we observed and reflected on the analog collaborative writing process. Next, we derived design principles and remodeled and implemented the process via a Web application instantiation to evaluate them. In the evaluation, we identified the developed design principles' ability to rea ch higher hedonic motivation and meaningful engagement, which led to an enhanced intention to continue to use the system. Additionally, we found the potential to manage the shift toward digital collaboration processes that motivate people to participate and produce promising outcomes that do not vary much from outcomes in an analog setting. Paper 4 (Design science theme): Mattke, J., & Maier, C, (2021). Gamification: Explaining brand loyalty in mobile applications. AIS Transactions on Human-Computer Interaction, 13(1), pp. 62-81. DOI: 10.17705/1thci.00142 Available at: https://aisel.aisnet.org/thci/vol13/iss1/4/ Abstract: Gamification is one specific way to increase mobile app users' brand loyalty. We propose that the frequency with which one uses immersion-, achievement- and social-related features relates to brand loyalty. To provide empirical evidence for this proposal, we obtained quantitative data from surveying 243 users on the mobile application Duolingo and conducted a fuzzy-set qualitative comparative analysis (fsQCA). We found that users need to frequently use immersion- and achievement-related features to result in high brand loyalty. On the contrary, we found users who infrequently use at least two gamification features have low brand loyalty. These findings extend the gamification literature by revealing an interaction between multiple gamification features and extend mobile application research by showing how gamification features relate to high and low brand loyalty. We also guide practitioners on how to identify users at risk to discontinue and reduce customer churn. Paper 5 (Design science theme): Diederich, S., Lembcke, T.-B., Brendel, A.B., & Kolbe, L. (2021). Understanding the impact that response failure has on how users perceive anthropomorphic conversational service agents: Insights from an online experiment. AIS Transactions on Human-Computer Interaction, 13(1), pp. 82-103. DOI: 10.17705/1thci.00143 Available at: https://aisel.aisnet.org/thci/vol13/iss1/5/ Abstract: Conversational agents (CAs) have attracted the interest from organizations due to their potential to provide automated services and the feeling of humanlike interaction. Emerging studies on CAs have found that humanness has a positive impact on customer perception and explored approaches for their anthropomorphic design, which comprises both their appearance and behavior. While these studies provide valuable knowledge on how to design humanlike CAs, we still do not sufficiently understand this technology's limited conversational capabilities and their potentially detrimental impact on user perception. These limitations often lead to frustrated users and discontinued CAs in practice. We address this gap by investigating the impact of response failure, which we understand a CA's inability to provide a meaningful reply, in a service context. To do so, we draw on the computers are social actors paradigm and the theory of the uncanny valley. Via an experiment with 169 participants, we fou nd that 1) response failure harmed the extent to which people perceived CAs as human and increased their feelings of uncanniness, 2) humanness (uncanniness) positively (negatively) influenced familiarity and service satisfaction, and 3) the response failure had a significant negative impact on user perception yet did not lead to a sharp drop as the uncanny valley theory posits. Thus, our study contributes to better explaining the impact that text-based CAs' failure to respond has on customer perception and satisfaction in a service context in relation to the agents' design. Paper 6 (AI fairness, trust, and ethics theme): Vimalkumar, M., Gupta, A., Sharma, D., & Dwivedi, Y. K. (2021). Understanding the effect that task complexity has on automation potential and opacity: Implications for algorithmic fairness. AIS Transactions on Human-Computer Interaction, 13(1), pp. 104-129. DOI: 10.17705/1thci.00144 Available at: https://aisel.aisnet.org/thci/vol13/iss1/6/ Abstract: Scholars have increasingly focused on understanding different aspects of algorithms since they not only affect individual choices and decisions but also influence and shape societal structures. We can broadly categorize scholarly work on algorithms along the dimensions of economic gain that one achieves through automation and the ethical concerns that stem from such automation. However, the literature largely uses the notion of algorithms in a generic way and overlooks different algorithms' specificity and the type of tasks that they perform. Drawing on a typology of tasks based on task complexity, we suggest that variations in the complexity of tasks contribute to differences in 1) their automation potential and 2) the opacity that results from their automation. We also suggest a framework to assess the likelihood that fairness concerns will emanate from automation of tasks with varying complexity. In this framework, we also recommend affordances for addressing fairness concerns tha t one may design into systems that automate different types of tasks. =========================== 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 * 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. ==================================================================== 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(a)mst.edu URL: http://people.mst.edu/faculty/nahf/ _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Cfp April 2021