Article (Périodiques scientifiques)
Rethinking Trust in Social Robotics
CARLI, Rachele; NAJJAR, Amro
2021In arXiv
Peer reviewed
 

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Mots-clés :
Trust; Social Robots; Anthropomorphism; No trust-no use paradigm; Trustworthiness
Résumé :
[en] — In 2018 the European Commission highlighted the demand of a human-centered approach to AI. Such a claim is gaining even more relevance considering technologies specifi cally designed to directly interact and physically collaborate with human users in the real world. This is notably the case of social robots. The domain of Human-Robot Interaction (HRI) emerged to investigate these issues."Human-robot trust" has been highlighted as one of the most challenging and intriguing factors influencing HRI. On the one hand, user studies and technical experts underline how trust is a key element to facilitate users’ acceptance, consequently increasing the chances to pursue the given task. On the other hand, such a phenomenon raises also ethical and philosophical concerns leading scholars in these domains to argue that humans should not trust robots. However, trust in HRI is not an index of fragility, it is rooted in anthropomorphism, and it is a natural characteristic of every human being. Thus, instead of focusing solely on how to inspire user trust in social robots, this paper argues that what should be investigated is to what extent and for which purpose it is suitable to trust robots. Such an endeavour requires an interdisciplinary approach taking into account (i) technical needs and (ii) psychological implications.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
CARLI, Rachele ;  University of Luxembourg > Faculty of Science, Technology and Medecine (FSTM)
NAJJAR, Amro ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Rethinking Trust in Social Robotics
Date de publication/diffusion :
août 2021
Titre du périodique :
arXiv
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Disponible sur ORBilu :
depuis le 20 janvier 2022

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