Embodying a Virtual Agent in a Self-Driving Car: A Survey-Based Study on User Perceptions of Trust, Likeability, and Anthropomorphism

Clarisse Lawson-Guidigbe, Nicolas Louveton, Kahina Amokrane-Ferka, Benoît Le Blanc, Jean Marc André

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

2 Citations (Scopus)

Résumé

This article considers the visual appearance of a virtual agent designed to take over the driving task in a highly automated car, to answer the question of which visual appearance is appropriate for a virtual agent in a driving role. The authors first selected five models of visual appearance thanks to a picture sorting procedure (N = 19). Then, they conducted a survey-based study (N = 146) using scales of trust, anthropomorphism, and likability to assess the appropriateness of those five models from an early-prototyping perspective. They found that human and mechanical-human models were more trusted than other selected models in the context of highly automated cars. Instead, animal and mechanical-animal ones appeared to be less suited to the role of a driving assistant. Learnings from the methodology are discussed, and suggestions for further research are proposed.

langue originaleAnglais
journalInternational Journal of Mobile Human Computer Interaction
Volume15
Numéro de publication1
Les DOIs
étatPublié - 1 janv. 2023
Modification externeOui

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