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

Autor/inn/en	Peretti, Giulia; Manzi, Federico; Di Dio, Cinzia; Cangelosi, Angelo; Harris, Paul L.; Massaro, Davide; Marchetti, Antonella
Titel	Can a Robot Lie? Young Children's Understanding of Intentionality beneath False Statements
Quelle	In: Infant and Child Development, 32 (2023) 2, (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Peretti, Giulia)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1522-7227
DOI	10.1002/icd.2398
Schlagwörter	Robotics; Childrens Attitudes; Evaluative Thinking; Intention; Young Children; Deception; Theory of Mind; Executive Function + Suchen Sie Ihr Suchwort? Robotertechnik; Frühe Kindheit; Täuschung
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. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01