Integrating AI in Psychotherapy: An Investigation of Trust in Voicebot Therapists

The use of Artificial Intelligence (AI) applications, such as voicebots, holds potential to alleviate the current shortage in mental health services. However, it is unclear whether clients would place the same level of trust in these agents as they do in human therapists. This study aims to explore clients' trust in self-disclosure and privacy when interacting with a voicebot therapist. Additionally, it investigates the potential impact of incorporating explainable AI (XAI) on trust perceptions. In a pre-registered, between-subjects design (2x2: human vs. voicebot, explanation vs. no explanation) study, 564 participants were presented with a pre-recorded therapy simulation. Participants were asked whether they would trust the human or voicebot therapist and whether they would be willing to use it in the future. The results revealed no significant difference in trust between the voicebot and the human therapist. Furthermore, increased transparency through XAI enhanced trust in the voicebot's overall functionality and led to higher levels of trust in its privacy measures.

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Publication Details

Journal
Nordic Conference on Human-Computer Interaction
Published
2024-09-30
DOI
https://doi.org/10.1145/3679318.3685353
Citations
4
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
3.75
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article

Integrating AI in Psychotherapy: An Investigation of Trust in Voicebot Therapists

Lisa Mühl, Magdalena Wischnewski, Jessica M. Szczuka, Nicole C. Krämer et al.
4 citations
Nordic Conference on Human-Computer Interaction
Digital Mental Health Interventions
3.75
article

Integrating AI in Psychotherapy: An Investigation of Trust in Voicebot Therapists

Lisa Mühl, Magdalena Wischnewski, Jessica M. Szczuka, Nicole C. Krämer, Lucie Stecker, Emily Herter
article en
4 citations

Abstract

The use of Artificial Intelligence (AI) applications, such as voicebots, holds potential to alleviate the current shortage in mental health services. However, it is unclear whether clients would place the same level of trust in these agents as they do in human therapists. This study aims to explore clients' trust in self-disclosure and privacy when interacting with a voicebot therapist. Additionally, it investigates the potential impact of incorporating explainable AI (XAI) on trust perceptions. In a pre-registered, between-subjects design (2x2: human vs. voicebot, explanation vs. no explanation) study, 564 participants were presented with a pre-recorded therapy simulation. Participants were asked whether they would trust the human or voicebot therapist and whether they would be willing to use it in the future. The results revealed no significant difference in trust between the voicebot and the human therapist. Furthermore, increased transparency through XAI enhanced trust in the voicebot's overall functionality and led to higher levels of trust in its privacy measures.

Nordic Conference on Human-Computer Interaction
University of Duisburg-Essen (DE)
Openalex Percentile: Top 3%
Digital Mental Health Interventions
3.75
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