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Can a Robot Lie? Young Children's Understanding of Intentionality beneath False Statements

Authors :
Peretti, Giulia
Manzi, Federico
Di Dio, Cinzia
Cangelosi, Angelo
Harris, Paul L.
Massaro, Davide
Marchetti, Antonella
Source :
Infant and Child Development. Mar-Apr 2023 32(2).
Publication Year :
2023

Abstract

Including robots in children's lives calls for reflection on the psychological and moral aspects of such relationships, especially with respect to children's ability to differentiate intentional from unintentional false statements, that is, lies from mistakes. This ability calls for an understanding of an interlocutor's intentions. This study examined the ability of 5-6-year-olds to recognize, and morally evaluate, lies and mistakes produced by a human as compared to a NAO robot, and to attribute relevant emotions to the deceived party. Irrespective of the agent, children had more difficulty in understanding mistakes than lies. In addition, they were disinclined to attribute a lie to the robot. Children's age and their understanding of intentionality were the strongest predictors of their performance on the lie-mistake task. Children's Theory of Mind, but not their executive function skills, also correlated with their performance. Our findings suggest that, regardless of age, a robot is perceived as an intentional agent. Robot behaviour was more acceptable for children because his actions could be attributed to someone who programmed it to act in a specific way.

Details

Language :
English
ISSN :
1522-7227 and 1522-7219
Volume :
32
Issue :
2
Database :
ERIC
Journal :
Infant and Child Development
Publication Type :
Academic Journal
Accession number :
EJ1373858
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1002/icd.2398