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PERCEPTION

Trust In Unmanned Driving System

Jae-Gil Lee, Jihyang Gu, Donghee Shin

Year
2015
Citations
4

Abstract

This study proposes a between-subject experiment with four conditions representing different levels of anthropomorphism and automation embedded in unmanned driving systems. Participants will be exposed to either a humanoid robot (high anthropomorphism) or a smartphone (low anthropomorphism) that have high and low automation level respectively as an independent driving agent. The study argues that the agent with high level of anthropomorphism and low level of automation is more likely to trigger greater feelings of trust and perceived safety, which then leads to positive perceptions of the system.

Keywords

AutomationFeelingPerceptionComputer scienceRobotHuman–computer interactionPsychologyApplied psychologyComputer securityArtificial intelligence

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