Towards accessible mental healthcare through augmented reality and self-assessment tools

Abstract

Mental health presents a growing public health concern worldwide with mental illnesses affecting people's quality of life and causing an economic impact on societies. The rapidly increasing demand for mental healthcare is calling for new ways of disseminating mental health knowledge and for supporting people with mental health illnesses. As an alternative to traditional mental health therapies and treatments, mental health self-assessment and self-management tools become widely available to the public. While such tools can potentially offer more timely personalised support, individuals seeking help are faced with the challenge of making an appropriate choice from an exhaustive number of online tools, mobile apps, and support programs. In this article, we present myGRaCE-a self-assessment and self-management mental health tool made accessible to users via Augmented Reality technologies. The advantage of the system is that it provides a direct pathway to relevant and reliable mental health resources and offers a positive incentive and interventions for at-risk users. To investigate the usability and intuitiveness of the system, we conducted a pilot evaluation study with 10 participants. The results showed that the majority of study participants found the system intuitive and easy to use.

Publication DOI: https://doi.org/10.3991/ijoe.v16i04.12095
Additional Information: © 2020 The Authors
Uncontrolled Keywords: Augmented reality,Mental health,Mental health disorders,Self-assessment tools,Selfmanagement,Engineering(all)
Publication ISSN: 2626-8493
Last Modified: 26 Feb 2024 08:38
Date Deposited: 15 Jun 2020 09:19
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2020-06-01
Accepted Date: 2020-02-03
Authors: Lush, Victoria (ORCID Profile 0000-0003-3248-9608)
Buckingham, Christopher (ORCID Profile 0000-0002-3675-1215)
Edwards, Suzanne
Bernardet, Ulysses (ORCID Profile 0000-0003-4659-3035)

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