Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction 2020
DOI: 10.1145/3319502.3374790
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On-Road and Online Studies to Investigate Beliefs and Behaviors of Netherlands, US and Mexico Pedestrians Encountering Hidden-Driver Vehicles

Abstract: A growing number of studies use a "ghost-driver" vehicle driven by a person in a car seat costume to simulate an autonomous vehicle. Using a hidden-driver vehicle in a field study in the Netherlands, Study 1 (N = 130) confirmed that the ghostdriver methodology is valid in Europe and confirmed that European pedestrians change their behavior when encountering a hidden-driver vehicle. As an important extension to past research, we find pedestrian group size is associated with their behavior: groups look longer th… Show more

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Cited by 15 publications
(8 citation statements)
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“…A similar study by Moore et al [178] indicated that pedestrians crossed in front of a ghost vehicle with little hesitation even when the vehicle did not give any signal beyond its motion. However, Li et al [179] findings contradicts this claim by confirming pedestrians behaviours are different on encountering a vehicle with a hidden driver based on a study carried out in Europe.…”
Section: B Human-machine Interactionmentioning
confidence: 90%
“…A similar study by Moore et al [178] indicated that pedestrians crossed in front of a ghost vehicle with little hesitation even when the vehicle did not give any signal beyond its motion. However, Li et al [179] findings contradicts this claim by confirming pedestrians behaviours are different on encountering a vehicle with a hidden driver based on a study carried out in Europe.…”
Section: B Human-machine Interactionmentioning
confidence: 90%
“…Similar study by Moore et al [172] indicated that pedestrians crossed in front of a ghost vehicle with little hesitation even when the vehicle did not give any signal beyond its motion. However, Li et al [173] findings contradicts this claim by confirming pedestrians behaviours are different on encountering a vehicle with a hidden-driver based on a study carried out Europe.…”
Section: B Human-machine Interactionmentioning
confidence: 91%
“…Building upon prior research collecting empirical data about pedestrian and other road-user behavior and interactions [20,41,58], as well as work gathering large datasets of on-road data for machine learning about human behavior [9,61], we are collecting data about urban mobility and occupancy of pubic space in New York City under social distancing policy. Our data collection methodology aims to create a multidimensional perspective of the city, taking into consideration different scales and changes over time.…”
Section: Methodsmentioning
confidence: 99%