Trusting emotional support from generative artificial intelligence: a conceptual review

People are increasingly using generative artificial intelligence (AI) for emotional support, creating trust-based interactions with limited predictability and transparency. We address the fragmented nature of research on trust in AI through a multidisciplinary conceptual review, examining theoretical foundations for understanding trust in the emerging context of emotional support from generative AI. Through an in-depth literature search across human-computer interaction, computer-mediated communication, social psychology, mental health, economics, sociology, philosophy, and science and technology studies, we developed two principal contributions. First, we summarise relevant definitions of trust across disciplines. Second, based on our first contribution, we define trust in the context of emotional support provided by AI and present a categorisation of relevant concepts that recur across well-established research areas. Our work equips researchers with a map for navigating the literature and formulating hypotheses about AI-based mental health support, as well as important theoretical, methodological, and practical implications for advancing research in this area.

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Publication Details

Journal
Computers in Human Behavior Artificial Humans
Published
2025-08-01
DOI
https://doi.org/10.1016/j.chbah.2025.100195
Citations
6
Primary Topic
Cognitive Functions and Memory
Type
article
Field-Weighted Citation Impact
12.71

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article

Trusting emotional support from generative artificial intelligence: a conceptual review

Lisa M. DeBruine, Simone Stumpf, Riccardo Volpato
6 citations
Computers in Human Behavior Artificial Humans
Cognitive Functions and Memory
12.71
article

Trusting emotional support from generative artificial intelligence: a conceptual review

Lisa M. DeBruine, Simone Stumpf, Riccardo Volpato
article en
6 citations

Abstract

People are increasingly using generative artificial intelligence (AI) for emotional support, creating trust-based interactions with limited predictability and transparency. We address the fragmented nature of research on trust in AI through a multidisciplinary conceptual review, examining theoretical foundations for understanding trust in the emerging context of emotional support from generative AI. Through an in-depth literature search across human-computer interaction, computer-mediated communication, social psychology, mental health, economics, sociology, philosophy, and science and technology studies, we developed two principal contributions. First, we summarise relevant definitions of trust across disciplines. Second, based on our first contribution, we define trust in the context of emotional support provided by AI and present a categorisation of relevant concepts that recur across well-established research areas. Our work equips researchers with a map for navigating the literature and formulating hypotheses about AI-based mental health support, as well as important theoretical, methodological, and practical implications for advancing research in this area.

Computers in Human Behavior Artificial HumansVol. 5
Urban Big Data Centre (GB), University of Glasgow (GB)
UK Research and Innovation
Openalex Percentile: Top 1%
Cognitive Functions and Memory
12.71
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Trusting emotional support from generative artificial intelligence: a conceptual review — Lisa M. DeBruine, Simone Stumpf, et al. · Computers in Human Behavior Artificial Humans (2025) | TGRS Research Map | TGRS