Simulated emotional reactions affect (dis)honesty in speech-free human–agent interactions

Can simulated emotional reactions displayed by embodied virtual agents influence human moral behaviour? Specifically, can they affect honesty, a core moral norm, even if the reaction is neither sentient nor genuine? In a preregistered and incentivised experiment, 372 participants played a repeated Prisoner’s Dilemma with a cooperative agent whose simulated facial reactions were designed to promote cooperation, defection, or neither. We then measured honesty in two unrelated tasks without emotional feedback, where dishonesty had either only self-regarding consequences (Mind Game) or also other-regarding consequences (Deception Game). When dishonesty affected the agent’s outcomes, honesty remained relatively high given the stakes, as if the agent’s outcomes were treated as morally relevant. In contrast, when dishonesty had no consequences for the agent, honesty depended on prior exposure: participants were more honest after interacting with a defection-promoting agent than with a cooperation-promoting one, consistent with moral compensation. These results suggest that even brief, speech-free interactions with emotionally expressive yet non-sentient agents can influence moral behaviour, suggesting that people respond to such agents as they would to real social partners. This raises important questions about the ethical impact of simulated emotion in human-AI interactions.

Authors

Institutions

Publication Details

Journal
Computers in Human Behavior Artificial Humans
Published
2026-03-31
DOI
https://doi.org/10.1016/j.chbah.2026.100293
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulated emotional reactions affect (dis)honesty in speech-free human–agent interactions

Florian Pécune, Alice Cartaud, Laurence Chaby, Catherine Pelachaud
Computers in Human Behavior Artificial Humans
Social Robot Interaction and HRI
article

Simulated emotional reactions affect (dis)honesty in speech-free human–agent interactions

Florian Pécune, Alice Cartaud, Laurence Chaby, Catherine Pelachaud
article en

Abstract

Can simulated emotional reactions displayed by embodied virtual agents influence human moral behaviour? Specifically, can they affect honesty, a core moral norm, even if the reaction is neither sentient nor genuine? In a preregistered and incentivised experiment, 372 participants played a repeated Prisoner’s Dilemma with a cooperative agent whose simulated facial reactions were designed to promote cooperation, defection, or neither. We then measured honesty in two unrelated tasks without emotional feedback, where dishonesty had either only self-regarding consequences (Mind Game) or also other-regarding consequences (Deception Game). When dishonesty affected the agent’s outcomes, honesty remained relatively high given the stakes, as if the agent’s outcomes were treated as morally relevant. In contrast, when dishonesty had no consequences for the agent, honesty depended on prior exposure: participants were more honest after interacting with a defection-promoting agent than with a cooperation-promoting one, consistent with moral compensation. These results suggest that even brief, speech-free interactions with emotionally expressive yet non-sentient agents can influence moral behaviour, suggesting that people respond to such agents as they would to real social partners. This raises important questions about the ethical impact of simulated emotion in human-AI interactions.

Computers in Human Behavior Artificial HumansVol. 8
Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), Université Paris Cité (FR), Université de Lille (FR), Sorbonne Université (FR), Laboratoire Vision Action Cognition (FR), Institut d'Economie Scientifique Et de Gestion (FR), Institut Systèmes Intelligents et de Robotique (FR), Lille Économie Management (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 33%
Social Robot Interaction and HRI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.