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

Author

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  • Clarisse Lawson-Guidigbe

    (Univ. Bordeaux, CNRS, Bordeaux INP-ENSC, IMS, Talence, France)

  • Nicolas Louveton

    (Université de Poitiers, Université François-Rabelais de Tours, CNRS, CeRCA, Poitiers, France)

  • Kahina Amokrane-Ferka

    (IRT SYSTEMX, Palaiseau, France)

  • Benoît Le Blanc

    (Univ. Bordeaux, CNRS, Bordeaux INP-ENSC, IMS, Talence, France)

  • Jean-Marc André

    (Univ. Bordeaux, CNRS, Bordeaux INP-ENSC, IMS, Talence, France)

Abstract

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.

Suggested Citation

  • Clarisse Lawson-Guidigbe & Nicolas Louveton & Kahina Amokrane-Ferka & Benoît Le Blanc & Jean-Marc André, 2023. "Embodying a Virtual Agent in a Self-Driving Car: A Survey-Based Study on User Perceptions of Trust, Likeability, and Anthropomorphism," International Journal of Mobile Human Computer Interaction (IJMHCI), IGI Global, vol. 15(1), pages 1-18, January.
  • Handle: RePEc:igg:jmhci0:v:15:y:2023:i:1:p:1-18
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    References listed on IDEAS

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    2. Currall, Steven C. & Judge, Timothy A., 1995. "Measuring Trust between Organizational Boundary Role Persons," Organizational Behavior and Human Decision Processes, Elsevier, vol. 64(2), pages 151-170, November.
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