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 , KR

2 Department of Psychiatry , Chungnam National University Sejong Hospital , Sejong , KR

3 School of Psychology , Korea University , Seoul , KR

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

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

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

7 Department of Software , Sungkyunkwan University , Suwon , KR

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

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

10 Department of Computer Science and Engineering , Pohang University of Science and Technology , Pohang , KR

*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
  • KR
  • Phone: 82 029205505
  • Email: david0203@gmail.com