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

doi:10.1145/3334480.3382932

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 proceeding › Conference contribution › peer-review

12 Citations (Scopus)

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 language	English
Title of host publication	CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery (ACM)
ISBN (Electronic)	9781450368193
DOIs	https://doi.org/10.1145/3334480.3382932
Publication status	Published - 25 Apr 2020
Event	2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States Duration: 25 Apr 2020 → 30 Apr 2020

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Country/Territory	United States
City	Honolulu
Period	25/04/20 → 30/04/20

Keywords

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

Access to Document

10.1145/3334480.3382932

Cite this

Baghaei, N., Stemmet, L., Hlasnik, A., Emanov, K., Hach, S., Naslund, J. A., Billinghurst, M., Khaliq, I., & Liang, H. N. (2020). Time to get personal: Individualised virtual reality for mental health. In CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Article 3382932 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery (ACM). https://doi.org/10.1145/3334480.3382932

@inproceedings{a4827d7592b04aafa9ec6b5813e138ec,

title = "Time to get personal: Individualised virtual reality for mental health",

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.",

keywords = "Depression, Individualisation, Mental health, Self-compassion, User experience, User models, Virtual reality",

author = "Nilufar Baghaei and Lehan Stemmet and Andrej Hlasnik and Konstantin Emanov and Sylvia Hach and Naslund, {John A.} and Mark Billinghurst and Imran Khaliq and Liang, {Hai Ning}",

year = "2020",

month = apr,

day = "25",

doi = "10.1145/3334480.3382932",

language = "English",

series = "Conference on Human Factors in Computing Systems - Proceedings",

publisher = "Association for Computing Machinery (ACM)",

booktitle = "CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems",

note = "2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 ; Conference date: 25-04-2020 Through 30-04-2020",

}

Baghaei, N, Stemmet, L, Hlasnik, A, Emanov, K, Hach, S, Naslund, JA, Billinghurst, M, Khaliq, I & Liang, HN 2020, Time to get personal: Individualised virtual reality for mental health. in CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems., 3382932, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery (ACM), 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020, Honolulu, United States, 25/04/20. https://doi.org/10.1145/3334480.3382932

Time to get personal: Individualised virtual reality for mental health. / Baghaei, Nilufar; Stemmet, Lehan; Hlasnik, Andrej et al.
CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2020. 3382932 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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 contribution

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 (ACM)

Y2 - 25 April 2020 through 30 April 2020

ER -

Baghaei N, Stemmet L, Hlasnik A, Emanov K, Hach S, Naslund JA et al. Time to get personal: Individualised virtual reality for mental health. In CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM). 2020. 3382932. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3334480.3382932

Time to get personal: Individualised virtual reality for mental health

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this