Abstract
The emerging of artificial intelligences interventions in mental health presents many opportunities for more innovative research and medical practices that benefits different stakeholders. There is a growing research stream investigating the adoption of AI-enabled solutions from different perspectives. As patients are the ultimate consumers of mental health services, it is critical to understand patients’ perception and attitudes towards AI applications. This project aims to provide a scoping review about that addresses the current state of the relevant literature in terms of research methods, theories, and findings. Using such insights, the review identifies the research gaps and proposes directions for further development of the research stream.
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References
WHO; The world health report 2001: mental disorders affect one in four people. https://www.who.int/news/item/28-09-2001-the-world-health-report-2001-mental-disorders-affect-one-in-four-people. Accessed 10 Apr 2022
Raibagi, K.: Top AI-based apps to support your mental health in 2021. https://industrywired.com/top-ai-based-apps-to-support-your-mental-health-in-2021/. Accessed 10 Apr 2022
Henshall, C., et al.: A web-based clinical decision tool to support treatment decision-making in psychiatry: a pilot focus group study with clinicians, patients and carers. BMC Psychiatry 17(1), 1–10 (2017)
Graham, S., et al.: Artificial intelligence for mental health and mental illnesses: an overview. Curr. Psychiatry Rep. 21(11), 1–18 (2019)
Lee, E.E., et al.: Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 6(9), 856–864 (2021)
Prakash, A.V., Das, S.: Intelligent conversational agents in mental healthcare services: a thematic analysis of user perceptions. Pacific Asia J. Assoc. Inf. Syst. 12(2), 1 (2020)
Fiske, A., Henningsen, P., Buyx, A.: Your robot therapist will see you now: ethical implications of embodied artificial intelligence in psychiatry, psychology, and psychotherapy. J. Med. Internet Res. 21(5), e13216 (2019)
Abd-Alrazaq, A.A., et al.: Perceptions and opinions of patients about mental health chatbots: scoping review. J. Med. Internet Res. 23(1), e17828 (2021)
Le Glaz, A., et al.: Machine learning and natural language processing in mental health: systematic review. J. Med. Internet Res. 23(5), e15708 (2021)
Baldauf, M., Fröehlich, P., Endl, R.: Trust me, I’m a doctor–user perceptions of AI-driven apps for mobile health diagnosis. In: 19th International Conference on Mobile and Ubiquitous Multimedia (2020)
Di Carlo, F., et al.: Telepsychiatry and other cutting-edge technologies in COVID-19 pandemic: bridging the distance in mental health assistance. Int. J. Clin. Practice 75(1) (2021)
Torous, J., et al.: The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry 20(3), 318–335 (2021)
Ahadzadeh, A.S., et al.: Integrating health belief model and technology acceptance model: an investigation of health-related internet use. J. Med. Internet Res. 17(2), e3564 (2015)
Ienca, M., et al.: Ethical design of intelligent assistive technologies for dementia: a descriptive review. Sci. Eng. Ethics 24(4), 1035–1055 (2018)
Mouchabac, S., et al.: Psychiatric advance directives and artificial intelligence: a conceptual framework for theoretical and ethical principles. Front. Psychiatry 1596 (2021)
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Nguyen, N., Labonte-Lemoyne, E., Gregoire, Y., Radanielina-Hita, M.L., Senecal, S. (2022). Understanding the Patients’ Adoption and Usage of AI Solution in Mental Health: A Scoping Review. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2022 – Late Breaking Posters. HCII 2022. Communications in Computer and Information Science, vol 1655. Springer, Cham. https://doi.org/10.1007/978-3-031-19682-9_85
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