Beyond the Machine: An Integrative Framework of Anthropomorphism in AI

AI-enabled technology (AI) has a transformational role in our modern society because it is increasingly used as an interaction partner, making anthropomorphism (tendency to ascribe human features to non-human agents) a central mechanism shaping how people evaluate, accept or resist AI systems. Existing technology acceptance models and anthropomorphism frameworks, however, offer limited guidance on how human-like attributes of AI translate into perceptions of usefulness, perceived control, perceived opportunity or threats, particularly across different levels of AI autonomy. Building on the theory of planned behavior, the technology acceptance model and threat rigidity model, this paper develops a mid-range conceptual framework of AI anthropomorphism grounded in universal social perception dimensions of warmth and competence. We integrate fragmented research to derive three core propositions and four corollaries that specify how warmth and competence attributions shape evaluative cognitions in relation to AI. The framework further identifies AI autonomy as a boundary condition under which anthropomorphic cues may either facilitate acceptance or trigger perceptions of pseudo-empathy, cognitive superiority and identity threat. By offering a parsimonious, theoretically informed model, this paper clarifies when anthropomorphism fosters acceptance versus resistance in human-AI interaction and provides a structured agenda for future empirical research and AI design aimed at fostering synergies and resilience in human-AI ecosystems.

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Publication Details

Journal
Behavioral Sciences
Published
2026-03-03
DOI
https://doi.org/10.3390/bs16030358
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond the Machine: An Integrative Framework of Anthropomorphism in AI

Petru Lucian Curșeu, Ștefana Radu
Behavioral Sciences
Ethics and Social Impacts of AI
article

Beyond the Machine: An Integrative Framework of Anthropomorphism in AI

Petru Lucian Curșeu, Ștefana Radu
article en

Abstract

AI-enabled technology (AI) has a transformational role in our modern society because it is increasingly used as an interaction partner, making anthropomorphism (tendency to ascribe human features to non-human agents) a central mechanism shaping how people evaluate, accept or resist AI systems. Existing technology acceptance models and anthropomorphism frameworks, however, offer limited guidance on how human-like attributes of AI translate into perceptions of usefulness, perceived control, perceived opportunity or threats, particularly across different levels of AI autonomy. Building on the theory of planned behavior, the technology acceptance model and threat rigidity model, this paper develops a mid-range conceptual framework of AI anthropomorphism grounded in universal social perception dimensions of warmth and competence. We integrate fragmented research to derive three core propositions and four corollaries that specify how warmth and competence attributions shape evaluative cognitions in relation to AI. The framework further identifies AI autonomy as a boundary condition under which anthropomorphic cues may either facilitate acceptance or trigger perceptions of pseudo-empathy, cognitive superiority and identity threat. By offering a parsimonious, theoretically informed model, this paper clarifies when anthropomorphism fosters acceptance versus resistance in human-AI interaction and provides a structured agenda for future empirical research and AI design aimed at fostering synergies and resilience in human-AI ecosystems.

Behavioral SciencesVol. 16(3)
Babeș-Bolyai University (RO), Open University of the Netherlands (NL)
Openalex Percentile: Top 40%
Ethics and Social Impacts of AI
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