Moral Context Matters: A study of Adolescents’ Moral Judgment towards Robots

Andrea Luna Tacci*, Federico Manzi*, Cinzia Di Dio, Antonella Marchetti, Giuseppe Riva, Davide Massaro

*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in libroContributo a convegno


This study explores adolescents' moral judgments regarding decisions made by humans and robots, using variations of the Trolley Dilemma. In scenarios where humans or robots decide between sacrificing one human to save five robots or vice versa, adolescents' judgments were tested. Results indicate that adolescents generally evaluate human and robotic decisions similarly. Specifically, a decision to sacrifice a human to save five robots was perceived with severe moral judgment, increased blame attribution, and greater suggested punishment. In terms of personal choices, adolescents typically favored a utilitarian decision, except when the decision entailed sacrificing a human to save five robots. This study supports the notion that adolescents apply consistent moral principles to both human and robot decisions, and that moral judgement is focused on the social and moral consequences of actions rather than the nature of the decision-maker. The outcomes also suggest a prevailing utilitarian principle when entities involved belong to the same ontological category. The research advances our understanding of adolescents' moral judgments in Human-Robot Interaction (HRI), a rapidly developing field with significant social implications.
Lingua originaleEnglish
Titolo della pubblicazione ospite2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
Numero di pagine6
Stato di pubblicazionePubblicato - 2023
EventoConference on AFFECTIVE COMPUTING & INTELLIGENT INTERACTION - Boston, Massachussetts, USA
Durata: 10 set 202313 set 2023


CittàBoston, Massachussetts, USA


  • Moral judgment, social robots, HRI (Human- Robot Interaction, Trolley Dilemma, Ontological category, Utilitarism.


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