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An Empirical Study of Pedestrian-Vehicle Interaction Using Virtual Reality
Yoon Kyung Lee(이윤경),Hyoseok Bang(방효석),Mijin Kwon(권미진),Yong-Eun Rhee(이용은),Jeh-Kwang Ryu(유제광),Sowon Hahn(한소원) 한국HCI학회 2019 한국HCI학회 학술대회 Vol.2019 No.2
The purpose of this research was to explore gesture interface of pedestrian and to propose socially appropriate movement gestures for vehicles. We conducted an observational study in locations that had 1) high volume of traffic, 2) intersections where constant interactions between pedestrians and vehicles occur, 3) no traffic lights to regulate the flow of traffic. We then developed a virtual crossing task (VCT), with independent variables selected based on the behavioral patterns we observed from the preliminary study. We measured head direction, crossing time, and success rate in crossing. Based on our observation, the speed, the size of the vehicle, and the number of pedestrians were the main factors of change in pedestrian movements (e.g., stopping). In the experiment, participants were more likely to keep caution by changing their head direction to look around when the vehicle was small and slowly approached the crosswalk and when a companion was present. In conclusion, we suggest that the interaction between autonomous vehicles and pedestrians should be understood as social interactions: social institutions and cultural differences should be considered when designing a ‘socially’ appropriate gesture interface of autonomous vehicles.