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 .
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

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

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