[AISWorld] Publication of Vol. 14 Issue 3 of AIS Transactions on Human-Computer Interaction (THCI)

[Prof. Fiona Nah]

Announcing the Publication of
Volume 14 Issue 3 of AIS Transactions on Human-Computer Interaction (THCI)
(http://https://aisel.aisnet.org/thci/)

The September 2022 issue of THCI comprises five research articles and one research commentary.

The first paper of this issue is entitled "Screen Time and Productivity: An Extension of Goal-setting Theory to Explain Optimum Smartphone Use" by Kaveh Abhari and Isaac Vaghefi. The authors studied key antecedents and outcomes of smartphone screen-time self-monitoring success.
The second paper is entitled "Deriving Value from Big Data Analytics in Healthcare: A Value-focused Thinking Approach" by Brenda Eschenbrenner and Rachel Brenden. The authors utilized the value-focused thinking approach to identify actionable objectives to help healthcare organizations derive the maximum value from big data analytics.
The third paper entitled "Digital Human Representations for Health Behavior Change: A Structured Literature Review" by Marc T. P. Adam, Stephan Dreyer, Henner Gimpel, and Christian Olenberger covers how social cues of digital human representations (e.g., avatars and embodied agents) can influence health behavior change based on a literature review of 60 papers.
The fourth paper entitled "The Feedback Loop of Flow: Controlled Experiment Shows Task-relevant Feedback Increases Flow" by Owen Schaffer and Xiaowen Fang shows that task-relevant feedback increases flow experience. The authors also provide design guidelines that facilitate users getting into the flow state.
The fifth paper is entitled "A Study of Interaction, Visual Canvas, and Immersion in AR Design: A DSR Approach" where the authors, Ramnath Krishnan Pallasena, Mayank Sharma, and Venkataraghavan Krishnaswamy, applied design science research guidelines to design, develop, and evaluate an augmented reality (AR) artifact. Their study suggests that interaction, visual cues, and immersion facilitate AR-mediated communication, whereas high-quality product visuals and interactive user controls contribute to a good AR experience.
The sixth paper, which is a commentary entitled "Intelligence Augmentation: Human Factors in AI and Future of Work", is co-authored by Souren Paul, Lingyao (Ivy) Yuan, Hemant Jain, Lionel P. Robert Jr., Jim Spohrer, and Hila Lifshitz-Assaf. They highlight important socio-technical aspects and ethical considerations of augmented intelligence, and explain how augmented intelligence can play a key role in shaping the future of work.

You can download the papers in this issue from https://aisel.aisnet.org/thci/vol14/iss3/ 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 14, Issue 3)



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Paper 1: Screen Time and Productivity: An Extension of Goal-setting Theory to Explain Optimum Smartphone Use


Abhari, K., & Vaghefi, I. (2022). Screen time and productivity: An extension of goal-setting theory to explain optimum smartphone use. AIS Transactions on Human-Computer Interaction, 14(3), pp. 254-288. DOI: 10.17705/1thci.00169


Available at: https://aisel.aisnet.org/thci/vol14/iss3/1/



Abstract:



Over the past several years, much research has examined the negative consequences that can arise from smartphone use. To help reduce these consequences, companies have developed smartphone applications and features to enable self-monitoring behaviors. However, the mechanisms that have caused smartphone-enabled self-monitoring behaviors to emerge and the positive outcomes that might result from such behaviors have received limited scholarly attention. In this study, we ameliorate this gap by proposing a framework that highlights key antecedents and outcomes of screen-time self-monitoring success based on a smartphone-based self-monitoring intervention. Informed by a short-term longitudinal study, our results show how smartphone-based self-monitoring can enhance awareness of smartphone use and, consequently, lead to positive outcomes for users. Our findings reveal that how users perceive smartphone self-monitoring affordances, their outcome expectations, and their smartphone self-monitoring efficacy positively relate to the extent they engage in smartphone-based self-monitoring behavior. In turn, self-monitoring enhances user productivity and leads to an overall sense of contentment with achievement. Nevertheless, our findings suggest that self-monitoring fatigue negatively moderates these relationships. This study offers novel theoretical and practical insights to encourage users to use smartphones in a more regulated manner. More generally, this study contributes to the literature on self-monitoring and self-regulation in digitally enabled environments.





Paper 2: Deriving Value from Big Data Analytics in Healthcare: A Value-focused Thinking Approach


Eschenbrenner, B. & Brenden, R. (2022). Deriving value from big data analytics in healthcare: A value-focused thinking approach. AIS Transactions on Human-Computer Interaction, 14(3), pp. 289-313. DOI: 10.17705/1thci.00170


Available at: https://aisel.aisnet.org/thci/vol14/iss3/2/



Abstract:



With the potential to generate more insights from data than ever before, big data analytics has become highly valuable to many industries, especially healthcare. Big data analytics can make important contributions to many areas, such as enhancements in the quality of patient care and improvements in operational efficiencies. Big data analytics provides opportunities to address concerns such as disease diagnoses and prevention. However, it has posed challenges such as data security and privacy issues. Also, healthcare institutions have concerns about deriving the greatest benefit from their big data analytics endeavors. Therefore, identifying actionable objectives that can help healthcare organizations derive the maximum value from big data analytics is needed. Using the value-focused thinking approach, we interviewed individuals associated with data analytics in healthcare to identify actionable objectives that one needs to consider to derive value from big data analytics, which practitioners can use for their own endeavors and provide opportunities for future research.





Paper 3: Digital Human Representations for Health Behavior Change: A Structured Literature Review


Adam, M. T. P., Dreyer, S., Gimpel, H., & Olenberger, C. (2022). Digital human representations for health behavior change: A structured literature review. AIS Transactions on Human-Computer Interaction, 14(3), pp. 314-355. DOI: 10.17705/1thci.00171


Available at: https://aisel.aisnet.org/thci/vol14/iss3/3/



Abstract:



Organizations have increasingly begun using digital human representations (DHRs), such as avatars and embodied agents, to deliver health behavior change interventions (BCIs) that target modifiable risk factors in the smoking, nutrition, alcohol overconsumption, and physical inactivity domain. We conducted a structured literature review of 60 papers from the computing, health, and psychology literatures to investigate how DHRs' social design affects whether BCIs succeed. Specifically, we analyzed how differences in social cues that DHRs use affect user psychology and how this can support or hinder different intervention functions. Building on established frameworks from the human-computer interaction and BCI literatures, we structure extant knowledge that can guide efforts to design future DHR-delivered BCIs. We conclude that more field studies are needed to better understand the temporal dynamics and the mid-term and long-term effects of DHR social design on user perception and intervention outcomes.





Paper 4: The Feedback Loop of Flow: Controlled Experiment Shows Task-relevant Feedback Increases Flow



Schaffer, O. & Fang, X. (2022). The feedback loop of flow: Controlled experiment shows task-relevant feedback increases flow. AIS Transactions on Human-Computer Interaction, 14(3), pp. 356-389. DOI: 10.17705/1thci.00172



Available at: https://aisel.aisnet.org/thci/vol14/iss3/4/



Abstract:



Flow theory suggests three flow conditions lead to flow: optimal challenges, clear goals, and immediate feedback. Previous research has only confirmed the link between optimal challenges and flow with controlled experiments. Inspired by Miller's test-operate-test-exit (TOTE) units and Csikszentmihalyi's flow theory, we introduce a feedback loop of flow model of the cognitive processes that lead to flow in computer-based tasks. This model illustrates how the flow conditions come together to create the flow experience. In particular, the feedback loop of flow model we present suggests the feedback must be task-relevant to generate a flow state, which means there must be feedback that pertains to the goals of the task. We conducted a controlled experiment to test the causal relationship between task-relevant feedback and flow. Participants who experienced designs with task-relevant feedback rated their experience higher on a measure of flow than those in either the no feedback or randomized feedback control groups. Our findings provide evidence that feedback increases flow and specifically that designs with task-relevant feedback increase flow. We present a design for flow model and discuss design guidelines for how to create interactive systems that will facilitate users getting into a flow state. Task-relevant feedback communicates how well users are performing actions that make progress towards the goal of the optimally challenging task that is getting them into flow and how they can get better at that task. As with TOTE units, the feedback loop of flow is a recursive process, which suggests task-relevant feedback must be presented continuously and for each subtask of the overall task.





Paper 5: A Study of Interaction, Visual Canvas, and Immersion in AR Design: A DSR Approach



Pallasena, R. K., Sharma, M., & Krishnaswamy, V. (2022). A study of interaction, visual canvas, and immersion in AR design - A DSR approach. AIS Transactions on Human-Computer Interaction, 14(3), pp. 390-425. DOI: 10.17705/1thci.00173



Available at: https://aisel.aisnet.org/thci/vol14/iss3/5/



Abstract:



Augmented reality (AR) as an innovative technology has changed the way people use technology for interaction and communication. While researchers have studied the application of AR, research on AR as a communication medium remains scant. In this study, we investigate the effect of AR factors (namely, interaction, visual canvas/cues, and immersion) on AR-mediated communication. We apply design science research (DSR) guidelines to design, develop, and evaluate an AR artifact. We derive the design elements based on interactivity, media naturalness, and immersion theories and develop the AR artifact as a mobile app in an iterative manner. We evaluate the design product through the informed arguments and scenarios method, and the design process by assessing its conformance to DSR principles. We show that AR factors' design elements-interaction (user controls, contextual tasks, and ergonomics), visual canvas/cues (realistic 3D models, visual and audio cues, and aesthetics), and immersion (diverse components)-play a critical role in AR-mediated communication. Furthermore, high-quality product visuals and interactive user controls give users a good AR experience. From a practice perspective, AR app designers may incorporate the design process we used in our study and generate AR experiences that fully exploit AR media's communication affordance. We contribute to knowledge by using DSR guidelines for designing and developing AR as a communication medium.





Paper 6: Intelligence Augmentation: Human Factors in AI and Future of Work



Paul, S., Yuan, L., Jain, H., Robert, L. P., Spohrer, J., & Lifshitz-Assaf, H. (2022). Intelligence augmentation: Human factors in AI and future of work. AIS Transactions on Human-Computer Interaction, 14(3), pp. 426-445. DOI: 10.17705/1thci.00174



Available at: https://aisel.aisnet.org/thci/vol14/iss3/6/



Abstract:



The availability of parallel and distributed processing at a reasonable cost and the diversity of data sources have contributed to advanced developments in artificial intelligence (AI). These developments in the AI computing environment are not concomitant with changes in the social, legal, and political environment. While considering deploying AI, the deployment context and the end goal of human intelligence augmentation for that specific context have surfaced as significant factors for professionals, organizations, and society. In this research commentary, we highlight some important socio-technical aspects associated with recent growth in AI systems. We elaborate on the intricacies of human-machine interaction that form the foundation of augmented intelligence. We also highlight the ethical considerations that relate to these interactions and explain how augmented intelligence can play a key role in shaping the future of human work.



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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 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 Metaverse (https://drive.google.com/file/d/1akOgGhHKCh3drWhGrOHhF037XZngD5kX/) that is co-edited by Lakshmi Goel, Eric T.K. Lim, Fiona Nah, Shu Schiller, Chee-Wee Tan, and GJ de Vreede (Due: 31 December 2022). The goal of this special issue is to explore issues related to the design, potential applications, and business value of the Metaverse and NFTs, especially with regard to how the confluence of emerging technologies will shape individuals' perceptions and behaviors in this extended reality as well as their ensuing consequences.



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

  *   What are key design considerations, challenges, and solutions for the Metaverse?
  *   What affordances and design elements are key success factors for e-commerce and/or branding in the Metaverse?
  *   How can emerging technologies, such as Augmented Reality (AR), Mixed Reality (MR), Virtual Reality (VR) be seamlessly integrated into the Metaverse? Under what context is each of them most relevant?
  *   What business models are successful for the Metaverse?
  *   How is value created and captured in the Metaverse?
  *   How do new interface devices affect individuals' perceptions and behaviors in the Metaverse?
  *   How do individuals react to anonymity, curated identity, or transparency within the Metaverse?
  *   How do teams interact and function in the Metaverse?
  *   What is the role of data in the Metaverse?
  *   What are the key privacy, security, and ethical considerations in the Metaverse?
  *   What are the downsides of the Metaverse and why do they manifest?
  *   How can adverse outcomes of the Metaverse be adverted?



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

City University of Hong Kong
Kowloon Tong, Hong Kong
Email: fiona.nah at city.edu.hk<mailto:fiona.nah at city.edu.hk>



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