Exploring dimensions of perceived anthropomorphism in conversational AI: Implications for human identity threat and dehumanization

This study aims to identify humanlike traits in conversational AI (CAI) that influence human identity threat and dehumanization, and to propose design guidelines to mitigate these effects. An online survey was conducted with 323 participants. Factor analysis revealed four key dimensions of perceived anthropomorphism in CAI: Self-likeness, Communication & Memory, Social Adaptability, and Agency. Structural equation modeling showed that Self-likeness heightened both perceived human identity threat and dehumanization, whereas Agency significantly moderated these effects while also directly mitigating dehumanization. Social Adaptability generally reduced perceived human identity threat but amplified it when combined with high Self-likeness. Furthermore, younger individuals were more likely to experience perceived human identity threat and dehumanization, underscoring the importance of considering user age. By elucidating the psychological structure underlying users’ perceptions of CAI anthropomorphism, this study deepens understanding of its psychosocial implications and provides practical guidance for the ethical design of CAI systems.

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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.2025.100192
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.48
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article

Exploring dimensions of perceived anthropomorphism in conversational AI: Implications for human identity threat and dehumanization

Sang-Hwan Kim, Yoon S. Lee
1 citations
Computers in Human Behavior Artificial Humans
AI in Service Interactions
2.48
article

Exploring dimensions of perceived anthropomorphism in conversational AI: Implications for human identity threat and dehumanization

Sang-Hwan Kim, Yoon S. Lee
article en
1 citations

Abstract

This study aims to identify humanlike traits in conversational AI (CAI) that influence human identity threat and dehumanization, and to propose design guidelines to mitigate these effects. An online survey was conducted with 323 participants. Factor analysis revealed four key dimensions of perceived anthropomorphism in CAI: Self-likeness, Communication & Memory, Social Adaptability, and Agency. Structural equation modeling showed that Self-likeness heightened both perceived human identity threat and dehumanization, whereas Agency significantly moderated these effects while also directly mitigating dehumanization. Social Adaptability generally reduced perceived human identity threat but amplified it when combined with high Self-likeness. Furthermore, younger individuals were more likely to experience perceived human identity threat and dehumanization, underscoring the importance of considering user age. By elucidating the psychological structure underlying users’ perceptions of CAI anthropomorphism, this study deepens understanding of its psychosocial implications and provides practical guidance for the ethical design of CAI systems.

Computers in Human Behavior Artificial HumansVol. 5
University of Michigan–Dearborn (US)
Reduced inequalities
Openalex Percentile: Top 9%
AI in Service Interactions
2.48
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Exploring dimensions of perceived anthropomorphism in conversational AI: Implications for human identity threat and dehumanization — Sang-Hwan Kim, Yoon S. Lee · Computers in Human Behavior Artificial Humans (2025) | TGRS Research Map | TGRS