TY - GEN
T1 - Time to get personal
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
AU - Baghaei, Nilufar
AU - Stemmet, Lehan
AU - Hlasnik, Andrej
AU - Emanov, Konstantin
AU - Hach, Sylvia
AU - Naslund, John A.
AU - Billinghurst, Mark
AU - Khaliq, Imran
AU - Liang, Hai Ning
N1 - Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/4/25
Y1 - 2020/4/25
N2 - 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.
AB - 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.
KW - Depression
KW - Individualisation
KW - Mental health
KW - Self-compassion
KW - User experience
KW - User models
KW - Virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85090234126&partnerID=8YFLogxK
U2 - 10.1145/3334480.3382932
DO - 10.1145/3334480.3382932
M3 - Conference Proceeding
AN - SCOPUS:85090234126
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 25 April 2020 through 30 April 2020
ER -