Emotional Responses to Artificial Intelligence Systems: A Scoping Review of Studied Applications, Key Concepts, and Central Associations

This article presents a scoping review of research on how people respond to AI systems on an emotional level. Using 154 contributions from the complete decade 2015 to 2024, it charts which domains and AI systems and which emotional constructs research has focused on and points to central findings regarding the antecedents and the consequences of emotional responses to AI systems. The review identifies a predominant interest in how emotional responses affect AI use and user satisfaction. The most commonly studied antecedents are features that make AI systems more human-like. The ethical implications of fostering emotional responses in this way are, however, rarely discussed. Further, emotional responses emerge as important mediating variables and as influential causes besides non-emotional constructs – thus complementing common technology acceptance models in important ways. The findings are important for achieving a balanced regulation of AI that enables beneficial human-AI engagement while safeguarding human autonomy.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2025-12-01
DOI
https://doi.org/10.1080/10447318.2025.2594748
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.48
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article

Emotional Responses to Artificial Intelligence Systems: A Scoping Review of Studied Applications, Key Concepts, and Central Associations

Siddharth Mehrotra, Pascal D. König
1 citations
International Journal of Human-Computer Interaction
AI in Service Interactions
2.48
article

Emotional Responses to Artificial Intelligence Systems: A Scoping Review of Studied Applications, Key Concepts, and Central Associations

Siddharth Mehrotra, Pascal D. König
article en
1 citations

Abstract

This article presents a scoping review of research on how people respond to AI systems on an emotional level. Using 154 contributions from the complete decade 2015 to 2024, it charts which domains and AI systems and which emotional constructs research has focused on and points to central findings regarding the antecedents and the consequences of emotional responses to AI systems. The review identifies a predominant interest in how emotional responses affect AI use and user satisfaction. The most commonly studied antecedents are features that make AI systems more human-like. The ethical implications of fostering emotional responses in this way are, however, rarely discussed. Further, emotional responses emerge as important mediating variables and as influential causes besides non-emotional constructs – thus complementing common technology acceptance models in important ways. The findings are important for achieving a balanced regulation of AI that enables beneficial human-AI engagement while safeguarding human autonomy.

International Journal of Human-Computer Interaction
Vrije Universiteit Amsterdam (NL), University of Amsterdam (NL)
Openalex Percentile: Top 8%
AI in Service Interactions
2.48
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Emotional Responses to Artificial Intelligence Systems: A Scoping Review of Studied Applications, Key Concepts, and Central Associations — Siddharth Mehrotra, Pascal D. König · International Journal of Human-Computer Interaction (2025) | TGRS Research Map | TGRS