Faculty Books and Book Chapters

Therapist Perceptions of Automated Deception Detection in Mental Health Applications

Therapist Perceptions of Automated Deception Detection in Mental Health Applications

Book Title

Artificial Intelligence in HCI

Editors

Helmut Degen, Stavroula Ntoa

Files

Document Type

Article

Abstract/Excerpt/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.

Keywords

qualitative analysis, AI and mental health, deception detection research

DOI

10.1007/978-3-031-35891-3_6

ISBN

978-3-031-35891-3

Publication Date

7-9-2023

Publisher

Springer, Cham

Disciplines

Psychology

Comments

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).

Therapist Perceptions of Automated Deception Detection in Mental Health Applications
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