-------- Forwarded Message --------
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.
=====================================================================================
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)
============
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.
===========================
Call for Papers - Special Issue on Fake News and Deception (due:
January 31, 2021)
===========================
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.
===========================
Call for Papers - Regular 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@mst.edu
URL:
http://people.mst.edu/faculty/nahf/
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