Embodying a Virtual Agent in a Self-Driving Car

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