Taenyun Kim

ORCID: 0000-0001-7817-5036
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About
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Research Areas
  • AI in Service Interactions
  • Ethics and Social Impacts of AI
  • Deception detection and forensic psychology
  • Cognitive Functions and Memory
  • Virtual Reality Applications and Impacts
  • Social and Intergroup Psychology
  • Artificial Intelligence in Healthcare and Education
  • Human-Automation Interaction and Safety
  • Pancreatic function and diabetes
  • Metabolism, Diabetes, and Cancer
  • COVID-19 and Mental Health
  • FOXO transcription factor regulation
  • Media Influence and Health
  • Diagnosis and treatment of tuberculosis
  • Impact of AI and Big Data on Business and Society
  • Impact of Technology on Adolescents
  • Law, AI, and Intellectual Property
  • Artificial Intelligence in Law
  • Decision-Making and Behavioral Economics
  • Behavioral Health and Interventions
  • Sport Psychology and Performance
  • Forgiveness and Related Behaviors
  • Psychology of Moral and Emotional Judgment
  • Mental Health via Writing
  • Death Anxiety and Social Exclusion

Sungkyunkwan University
2020-2025

Michigan State University
2021-2025

Inje University
2012

David C. Vaidis Willem W. A. Sleegers Florian van Leeuwen Kenneth G. DeMarree Bjørn Sætrevik and 95 more Robert M. Ross Kathleen Schmidt John Protzko Coby Morvinski Omid Ghasemi Andrew Roberts Jeff Stone Alexandre Bran Amélie Gourdon-Kanhukamwe Ceren Günsoy Lisa S. Moussaoui Andrew R. Smith Armelle Nugier Marie‐Pierre Fayant Ali H. Al‐Hoorie Obed Kwame Appiah Spencer Arbige Benjamin Aubert‐Teillaud Olga Białobrzeska Stéphanie Bordel Valérian Boudjemadi Hilmar Brohmer Quinn Cabooter Mehdi Chahir Ianis Chassang Armand Chatard Y.Y. Chou Sungeun Chung Mioara Cristea Joséphine Daga Gregory John Depow Olivier Desrichard Dmitrii Dubrov Thomas Rhys Evans Séverine Falkowicz Sylvain Ferreira Tim Figureau Valérie Fointiat Théo Friedrich Anastasia S. Gashkova Fabien Girandola Marine Granjon Dmitry Grigoryev Gül Günaydın Şevval Güzel Mahsa Hazrati Mai Helmy Ayumi Ikeda Michael Inzlicht Sara Jaubert Dauren Kasanov Mohammad Mohsen Khoddami Taenyun Kim Kiyoshi Kiyokawa Rabia I. Kodapanakkal Alexandra I. Kosachenko Kortney Maedge John H. Mahaney Marie‐Amélie Martinie Vitor N. Mascheretti Yoriko Matsuda Maxime Mauduy Nicolas Mauny Armand Metzen Eva Moreno‐Bella Miguel Moya Kévin Nadarajah Pegah Nejat Elisabeth Norman Irmak Olcaysoy Ökten Asil Ali Özdoğru Ceyda Ozer Elena Padial-Rojas Yuri G. Pavlov Monica Perusquía-Hernández Dora Proost Aleksandra Niemyjska Odile Rohmer Emre Selçuk Cécile Sénémeaud Yaniv Shani Elena A. Shmeleva Emmelie Simoens Kaitlin A. Smith Alain Somat Hayeon Song Fatih Sönmez Lionel Souchet J.J. Taylor Ilja van Beest Nicolas Van der Linden Steven Verheyen Bruno Verschuère Kévin Vezirian Luc Vieira

According to cognitive-dissonance theory, performing counterattitudinal behavior produces a state of dissonance that people are motivated resolve, usually by changing their attitude be in line with behavior. One the most popular experimental paradigms used produce such change is induced-compliance paradigm. Despite its popularity, replication crisis social psychology and other fields, as well methodological limitations associated paradigm, raise concerns about robustness classic studies this...

10.1177/25152459231213375 article EN cc-by-nc Advances in Methods and Practices in Psychological Science 2024-01-01

Artificial intelligence (AI) applications have become an integral part of our society. However, studying AI as one entity or idiosyncratic separately both limitations. Thus, this study used computational methods to categorize ten different roles prevalent in everyday life and compared laypeople's perceptions them using online survey data (N = 727). Based on theoretical factors related the fundamental nature AI, principal component analysis revealed two dimensions that AI: human involvement...

10.1145/3544548.3581340 article EN 2023-04-19

Trust plays an essential role in the interaction between humans and artificial intelligence (AI). To promote trust AI, information about AI's performance should be communicated well to users. Accordingly, this paper investigates how AI presented, focusing on message framing ownership of decisions. A 2 (ownership: no vs. ownership) × 3 (message framing: negative positive information) between-subjects experiment was conducted (N = 120). Participants were asked choose items help them survive...

10.1080/10447318.2022.2049134 article EN International Journal of Human-Computer Interaction 2022-04-18

In avatar-mediated communications, users often cannot identify how others' avatars are created, which is one of the important information they need to evaluate others. Thus, we tested a social virtual world that transparent about avatar-creation methods and investigated knowing shapes users' perceptions others their self-disclosure. We conducted 2x2 mixed-design experiment with system design (nontransparent vs. system) as between-subjects method (customized personalized avatar)...

10.1145/3613904.3642568 article EN 2024-05-11

10.22174/jcr.2020.57.3.196 article EN Journal of Communication Research 2020-01-01

Trust is essential in individuals' perception, behavior, and evaluation of intelligent agents. Indeed, it the primary motive for people to accept new technology. Thus, crucial repair trust event when damaged. This study investigated how agents should apologize recover effectiveness apology different agent humanlike compared machine-like based on two seemingly competing frameworks CASA (Computers-Are-Social-Actors) paradigm automation bias. A 2 (agent: Human-like vs. Machine-like) X (apology...

10.31234/osf.io/234f5 preprint EN 2020-10-12

This study aims to unveil how COVID-19 affected the experience of stress by focusing on stressors. Using computational analysis based a newly developed stressor identification model, we compared expressed Korean Twitter users before and during pandemic in terms (1) stressors as source (2) emotion manifestation stress. Both tweet-level (N = 202,556) user-level 24,803) analyses revealed that social factors are prevalent sources both pandemic. Moreover, increased most While from was manifested...

10.1089/cyber.2022.0052 article EN Cyberpsychology Behavior and Social Networking 2022-09-01

AI helps us make decisions in various domains such as healthcare, finance or entertainment (e.g. Netflix, IBM Watson and etc.). However, people's trust acceptance of are highly susceptible to when how the suggestion is presented. This study examined role message framing timing on performance stated. The employed a 2 (message timing: before vs. after decision) x 3 framing: no information negative positive framing) between-subjects experiment where participants were told solve specific problem...

10.1145/3334480.3383038 article EN 2020-04-25

After an intelligent agent makes error, regaining lost trust is important issue. In the process of repair, individuals' underlying perception potential for improvement in and way apologizes may influence agent's repair process. this study, we investigated implicit theories artificial intelligence their apology style on after violation. A 2 (implicit theory: Incremental vs. Entity) X (apology attribution: Internal External) between-subject design experiment was conducted (N = 150)....

10.31234/osf.io/m4q8z preprint EN 2021-08-16

Trust plays an essential role in the interaction between humans and artificial intelligence (AI). While too much trust could harm AI, lack of AI increase users’ reluctance to use system. One way foster is provide information about performance. However, manner which presented, such as message framing ownership decisions, also affect trust. To test this, we conducted a 2 (ownership: no vs. ownership) × 3 (message framing: negative positive information) between-subjects experiment. Participants...

10.31234/osf.io/unjg6 preprint EN 2021-08-16
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