Faculty Books and Book Chapters
Therapist Perceptions of Automated Deception Detection in Mental Health Applications
Book Title
Artificial Intelligence in HCI
Document Type
Article
ISBN
978-3-031-35891-3
Publication Date
7-9-2023
Editors
Helmut Degen, Stavroula Ntoa
Keywords
qualitative analysis, AI and mental health, deception detection research
Description
[Chapter Abstract] This paper discusses the results of a qualitative study which assessed the perceptions of mental health professionals (N=15) on the use of artificial intelligence for deception detection in therapy sessions. Four themes emerged from coding analysis of the interview data, including Functional Components of the Computer Science Implementation, Perceptions of the Computer Science Implementation, Integration of the Computer Science Implementation, and Suggestions. These themes encompass feedback from practicing mental health professionals suggesting a potential use case for automated deception detection in mental health, albeit considerations for confidentiality, client autonomy, data access, and therapist-client trust.
DOI
10.1007/978-3-031-35891-3_6
Publisher
Springer, Cham
First Page
83
Last Page
97
Disciplines
Psychology
NSUWorks Citation
King, S. L.,
Johnson, N.,
Kosyluk, K.,
Neal, T.
(2023). Therapist Perceptions of Automated Deception Detection in Mental Health Applications. Artificial Intelligence in HCI, 83-97.
Available at: https://nsuworks.nova.edu/cps_facbooks/771
Additional Information
Conference Paper, part of 4th International Conference, AI-HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part I
Research reported in this publication was supported by the Alfred P. Sloan University Center of Exemplary Mentoring under award number (G-2017-9717).