An Integrated Platform Combining Immersive Virtual Reality and Physiological Sensors for Systematic and Individualized Assessment of Stress Response (bWell): Design and Implementation Study
The study presents a novel VR-based experimental setup that allows a systematic and individualized assessment of stress responses, paving the way for future research to identify features that confer stress resilience and help individuals manage stress effectively. While our conceptual model highlights the role of HRV in providing valuable insights into stress responses, future research will involve multivariate and machine learning analyses to predict individual stress responses based on comprehensive sensor data, including EMG and the VR-based behavioral data, ultimately guiding personalized stress management interventions.
Authors
- Vincent Gagnon Shaigetz (ORCID: https://orcid.org/0000-0002-8038-6366)
- Nusrat Choudhury (ORCID: https://orcid.org/0000-0003-3364-8594)
- Melanie Segado (ORCID: https://orcid.org/0000-0001-7862-6749)
- Joshua A. Granek (ORCID: https://orcid.org/0000-0002-7361-5095)
- Budhachandra Khundrakpam (ORCID: https://orcid.org/0000-0001-8095-5656)
- Jesse Kendall Pazdera (ORCID: https://orcid.org/0000-0002-4913-9236)
Institutions
- Defence Research and Development Canada (CA)
- National Research Council Canada (CA)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-03-04
- DOI
- https://doi.org/10.2196/64492
- Citations
- 2
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 2.78