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This paper is in the following e-collection/theme issue:

Serious Games for Health and Medicine (851) Extended Reality, Virtual Reality and Virtual Worlds (851) Anxiety and Stress Disorders (1399) Virtual Reality Interventions in Mental Health (190) Social Anxiety Disorder (SAD) (66) Machine Learning (2323)

Published on in Vol 10, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38284, first published .
Person wearing VR headset and wrist sensors for virtual reality experiment

Prediction of Specific Anxiety Symptoms and Virtual Reality Sickness Using In Situ Autonomic Physiological Signals During Virtual Reality Treatment in Patients With Social Anxiety Disorder: Mixed Methods Study

Prediction of Specific Anxiety Symptoms and Virtual Reality Sickness Using In Situ Autonomic Physiological Signals During Virtual Reality Treatment in Patients With Social Anxiety Disorder: Mixed Methods Study

Authors of this article:

Joo Young Chun1 Author Orcid Image ;   Hyun-Jin Kim2 Author Orcid Image ;   Ji-Won Hur3 Author Orcid Image ;   Dooyoung Jung4 Author Orcid Image ;   Heon-Jeong Lee5 Author Orcid Image ;   Seung Pil Pack6 Author Orcid Image ;   Sungkil Lee7 Author Orcid Image ;   Gerard Kim8 Author Orcid Image ;   Chung-Yean Cho9 Author Orcid Image ;   Seung-Moo Lee9 Author Orcid Image ;   Hyeri Lee9 Author Orcid Image ;   Seungmoon Choi10 Author Orcid Image ;   Taesu Cheong1 Author Orcid Image ;   Chul-Hyun Cho5 Author Orcid Image
Article Authors Cited by (13) Tweetations (7) Metrics

Joo Young Chun   1 * , MS ;   Hyun-Jin Kim   2 * , MD ;   Ji-Won Hur   3 , PhD ;   Dooyoung Jung   4 , MD, PhD ;   Heon-Jeong Lee   5 , MD, PhD ;   Seung Pil Pack   6 , PhD ;   Sungkil Lee   7 , PhD ;   Gerard Kim   8 , PhD ;   Chung-Yean Cho   9 , MFA ;   Seung-Moo Lee   9 , MFA ;   Hyeri Lee   9 , BA ;   Seungmoon Choi   10 , PhD ;   Taesu Cheong   1 , PhD ;   Chul-Hyun Cho   5 , MD, PhD

1 School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea

2 Department of Psychiatry, Chungnam National University Sejong Hospital, Sejong, Republic of Korea

3 School of Psychology, Korea University, Seoul, Republic of Korea

4 Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea

5 Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea

6 Department of Biotechnology and Bioinformatics, Korea University, Sejong, Republic of Korea

7 Department of Software, Sungkyunkwan University, Suwon, Republic of Korea

8 Department of Computer Science and Engineering, Digital Experience Laboratory, Korea University, Seoul, Republic of Korea

9 Department of Film & Multimedia, Korea National University of Arts, Seoul, Republic of Korea

10 Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Chul-Hyun Cho, MD, PhD
  • Department of Psychiatry
  • Korea University College of Medicine
  • 73 Goryeodae-ro, Seongbuk-gu
  • Seoul 02841
  • Republic of Korea
  • Phone: 82 029205505
  • Fax: 82 0262805810
  • Email: david0203@gmail.com