Artificial Intelligence (AI) Can't Feel Me: Lower Perceived AI Perspective–Taking Impedes Human–AI Cooperation

ABSTRACT As artificial intelligence (AI) becomes increasingly autonomous, its interactions with humans increasingly resemble social relationships, giving rise to a novel form of cooperation—human–AI teaming. Drawing on social cognition theory, the present research examines how individuals’ perceived AI perspective–taking shapes their willingness to cooperate. Across five studies, we find that individuals are generally reluctant to cooperate with AI possessing partial decision‐making authority (Studies 1 and 2), and this reluctance is shaped by perceived AI perspective‐taking (Studies 3 and 4). When AI agents appear to accurately—or even slightly overestimate—the thoughts and feelings of individuals experiencing unfair situations, perceived AI perspective–taking increases, thereby enhancing their willingness to cooperate with AI (Study 5). These findings extend perspective–taking research from human–human to human–AI contexts, highlighting that cooperation with AI depends not only on instrumental outcomes but also on social–cognitive inferences about being understood, and suggesting that psychologically anthropomorphic design may foster more effective human–AI interaction.

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Publication Details

Journal
European Journal of Social Psychology
Published
2026-09-11
DOI
https://doi.org/10.1002/ejsp.70112
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

Artificial Intelligence (AI) Can't Feel Me: Lower Perceived AI Perspective–Taking Impedes Human–AI Cooperation

Man Hai, Xuyao Wu, Ye Li, Ruining Wang
European Journal of Social Psychology
AI in Service Interactions
article

Artificial Intelligence (AI) Can't Feel Me: Lower Perceived AI Perspective–Taking Impedes Human–AI Cooperation

Man Hai, Xuyao Wu, Ye Li, Ruining Wang
article en

Abstract

ABSTRACT As artificial intelligence (AI) becomes increasingly autonomous, its interactions with humans increasingly resemble social relationships, giving rise to a novel form of cooperation—human–AI teaming. Drawing on social cognition theory, the present research examines how individuals’ perceived AI perspective–taking shapes their willingness to cooperate. Across five studies, we find that individuals are generally reluctant to cooperate with AI possessing partial decision‐making authority (Studies 1 and 2), and this reluctance is shaped by perceived AI perspective‐taking (Studies 3 and 4). When AI agents appear to accurately—or even slightly overestimate—the thoughts and feelings of individuals experiencing unfair situations, perceived AI perspective–taking increases, thereby enhancing their willingness to cooperate with AI (Study 5). These findings extend perspective–taking research from human–human to human–AI contexts, highlighting that cooperation with AI depends not only on instrumental outcomes but also on social–cognitive inferences about being understood, and suggesting that psychologically anthropomorphic design may foster more effective human–AI interaction.

European Journal of Social Psychology
Hubei University of Medicine (CN), Ministry of Education of the People's Republic of China (CN), Yangtze University (CN), Central China Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
AI in Service Interactions
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