2023 | ||
Thursday, August 10th | ||
---|---|---|
12:00 AM |
A Framework to Understand the Emergence of SQB: Observations Through a New Lens Mahikala Niranga, Southern Cross University 12:00 AM |
|
12:00 AM |
An Investigation to reduce Overreliance on Explainable AI (XAI) in light of Two System Theory Mati Ur Rehman, Iowa State University 12:00 AM |
|
12:00 AM |
Decision-Making Styles in Metaverse: Effects of Immersion and Embodiment Elpida Bampouni, Tampere University 12:00 AM |
|
12:00 AM |
Ugochi Igbojekwe, Uzortech West Africa 12:00 AM |
|
12:00 AM |
Necdet Gurkan, Stevens Institute of Technology 12:00 AM |
|
12:00 AM |
Maylis Saigot, Copenhagen Business School 12:00 AM |
|
12:00 AM |
Lifting the Magic Curtain - How Transparency on Social Norm Nudging affects its Efficacy Alea Cavegn, Swiss Institute for Information Science, University of Applied Science of the Grisons, Chur, Switzerland 12:00 AM |
|
12:00 AM |
The Design and Operation of Digital Platforms under Folk Theories of Sociotechnical Systems Jordan W. Suchow, Stevens Institute of Technology 12:00 AM |
|
12:00 AM |
Anna Borawska, University of Szczecin 12:00 AM |
|
12:00 AM |
Who is More Likely to Initiate Referrals? Effect of User’s Regulatory Focus on Referral Intention Huijie Jin, Renmin University of China 12:00 AM |
Human cognition deals with how we know and make decisions, through processes including reasoning, perception, and judgment. The future of the Information Systems discipline will continue to involve human cognition as systems are increasingly used to meet social and business needs in innovative settings. Understanding human cognition is a critical component to the successful design, implementation, and use of information systems. The questions of interest relevant to this track focus on IS problems in terms of the processes of knowing and making decisions. This track solicits research investigating the widest variety of cognition, including but not limited to: situated, shared, social, distributed, and team cognition; group and individual decision support systems; cognitive aspects of business analytics and intelligence; problem-solving; knowledge-sharing & -management; cognitive perspectives on IS design, use, and development; human-computer interaction or human factors; and research methods to investigate cognitive issues in IS. We welcome qualitative, quantitative, experimental, and case study research and research-in-progress. <\br>
<\br>
Track Chairs
Jia Shen, Rider University, jiashen@rider.edu <\br>
Emre Yetgin, Rider University, eyetgin@rider.edu