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Article Dans Une Revue International Journal of Mobile Human Computer Interaction Année : 2023

Embodying a Virtual Agent in a Self-Driving Car

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.
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Origine : Publication financée par une institution

Dates et versions

hal-04222601 , version 1 (29-09-2023)

Identifiants

Citer

Clarisse Lawson-Guidigbe, Nicolas Louveton, Kahina Amokrane-Ferka, Benoît Le Blanc, Jean-Marc André. Embodying a Virtual Agent in a Self-Driving Car. International Journal of Mobile Human Computer Interaction, 2023, 15 (1), pp.1-18. ⟨10.4018/ijmhci.330542⟩. ⟨hal-04222601⟩
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