A Preliminary Study on the Validation of a Contactless Mental Health Assessment Service for Disaster Related Distress: Focusing on the Relationship Between Insomnia and Stress Sensitivity
10.4306/jknpa.2025.64.4.266
- Author:
Miwoo LEE
1
;
HyunKyung SHIN
;
Eun Young KIM
;
Sin Young KO
;
Min Kyung SHIN
;
Uranbileg KHISHIGBAYAR
;
Sooah JANG
;
Jeong-Ho SEOK
Author Information
1. Research Institute of MindsAI, Co. Ltd., Seoul, Korea
- Publication Type:ORIGINAL ARTICLE
- From:Journal of Korean Neuropsychiatric Association
2025;64(4):266-276
- CountryRepublic of Korea
- Language:English
-
Abstract:
Objectives:A virtual reality (VR)-based stress assessment solution was developed for high-risk groups exposed to disaster-related stress, enhancing accessibility and intervention effectiveness.The goal is to develop an integrated tool that evaluates psychological and physiological indicators for personalized mental health care.
Methods:The study uses the CONSURT app and non-contact VR technology to assess stress exposure and coping abilities. The psychological indicators, including depression, anxiety, traumatic stress experiences, and sleep quality, were measured through self-report scales. The physiological indicators, particularly heart rate variability, are recorded using wearable devices during VR scenarios designed to induce three types of anxiety sensitivities. The participants were recruited from outpatient clinics, aged 19–60 years, without significant neurological or severe psychiatric disorders.
Results:Among the 46 participants, 20% reported significant depression (Patient Health Questionnaire-9≥9). Sixteen participants completed the VR-based assessment, revealing greater heart rate variability and changes in nervousness in high-altitude scenarios compared to confined spaces. The study also identified the correlations between physiological markers related to stress and anxiety and several psychological indicators.
Conclusion:The VR-based stress assessment solution effectively evaluates disaster-related stress by integrating psychological and physiological indicators. This approach improves the accuracy and personalization of assessments, offering a scalable solution for mental health promotion, particularly in high-stress scenarios.
