Time to get personal: Individualised virtual reality for mental health

Nilufar Baghaei, Lehan Stemmet, Andrej Hlasnik, Konstantin Emanov, Sylvia Hach, John A. Naslund, Mark Billinghurst, Imran Khaliq, Hai Ning Liang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Mental health conditions pose a major challenge to healthcare providers and society at large. Early intervention can have significant positive impact on a person's prognosis, particularly important in improving mental health outcomes and functioning for young people. Virtual Reality (VR) in mental health is an emerging and innovative field. Recent studies support the use of VR technology in the treatment of anxiety, phobia, eating disorders, addiction, and pain management. However, there is little research on using VR for supporting, treatment and prevention of depression - a field that is very much emerging. There is also very little work done in offering individualised VR experience to users with mental health issues. This paper proposes iVR, a novel individualised VR for improving users' self-compassion, and in the long run, their positive mental health. We describe the concept, design, architecture and implementation of iVR and outline future work. We believe this contribution will pave the way for large-scale efficacy testing, clinical use, and potentially cost-effective delivery of VR technology for mental health therapy in future.

Original languageEnglish
Title of host publicationCHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery (ACM)
ISBN (Electronic)9781450368193
DOIs
Publication statusPublished - 25 Apr 2020
Event2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States
Duration: 25 Apr 202030 Apr 2020

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
CountryUnited States
CityHonolulu
Period25/04/2030/04/20

Keywords

  • Depression
  • Individualisation
  • Mental health
  • Self-compassion
  • User experience
  • User models
  • Virtual reality

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