Pedestrian Trust in Automated Vehicles: Role of Traffic Signal and AV Driving Behavior

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dc.contributor.author Jayaraman, Suresh
dc.contributor.author Creech, Chandler
dc.contributor.author Dawn, Tilbury
dc.contributor.author Yang, X. Jessie
dc.contributor.author Pradhan, Anuj
dc.contributor.author Tsui, Katherine
dc.contributor.author Robert, Lionel + "Jr"
dc.date.accessioned 2019-10-26T18:16:43Z
dc.date.available 2019-10-26T18:16:43Z
dc.date.issued 2019-10-25
dc.identifier.citation Jayaraman, S.K., Chandler, C., Tilbury, D.M., Yang, X.J., Pradhan, A.K., Tsui, K.M. and Robert, L.P. (2019), Pedestrian Trust in Automated Vehicles: Role of Traffic Signal and AV Driving Behavior, Frontiers in Robotics and AI, DOI:10.3389/frobt.2019.00117. en_US
dc.identifier.uri http://hdl.handle.net/2027.42/151794
dc.description.abstract Pedestrians’ acceptance of automated vehicles (AVs) depends on their trust in the AVs. We developed a model of pedestrians’ trust in AVs based on AV driving behavior and traffic signal presence. To empirically verify this model, we conducted a human-subject study with 30 participants in a virtual reality environment. The study manipulated two factors: AV driving behavior (defensive, normal, and aggressive) and the crosswalk type (signalized and unsignalized crossing). Results indicate that pedestrians’ trust in AVs was influenced by AV driving behavior as well as the presence of a signal light. In addition, the impact of the AV’s driving behavior on trust in the AV depended on the presence of a signal light. There were also strong correlations between trust in AVs and certain observable trusting behaviors such as pedestrian gaze at certain areas/objects, pedestrian distance to collision, and pedestrian jaywalking time. We also present implications for design and future research. en_US
dc.description.sponsorship Toyota Research Institute en_US
dc.description.sponsorship National Science Foundation en_US
dc.language.iso en_US en_US
dc.publisher Frontiers in Robotics and AI en_US
dc.subject automated vehicles en_US
dc.subject human-automation interaction en_US
dc.subject trust in automation en_US
dc.subject virtual reality en_US
dc.subject Pedestrian Trust en_US
dc.subject Pedestrian automated vehicle interaction en_US
dc.subject self driving cars en_US
dc.subject autonomous vehicles en_US
dc.subject human robot interaction en_US
dc.subject Artificial Intelligence for Human-Robot Interaction en_US
dc.subject Artificial Intelligence en_US
dc.subject vehicles en_US
dc.subject automotive automation en_US
dc.subject automated vehicle interaction en_US
dc.subject human automated vehicle interaction en_US
dc.subject human computer interaction en_US
dc.subject social computing en_US
dc.subject societal computing en_US
dc.subject Internet of Things en_US
dc.subject automotive technology en_US
dc.subject Pedestrians en_US
dc.subject driving systems en_US
dc.subject advance driving technology en_US
dc.subject advance driving systems en_US
dc.subject autonomous systems en_US
dc.subject interaction with autonomous systems en_US
dc.subject automated driving systems en_US
dc.subject SAE Level 4 en_US
dc.subject SAE Level 5 en_US
dc.subject driving en_US
dc.subject crosswalks en_US
dc.subject traffic lights en_US
dc.title Pedestrian Trust in Automated Vehicles: Role of Traffic Signal and AV Driving Behavior en_US
dc.type Article en_US
dc.subject.hlbsecondlevel Information and Library Science
dc.subject.hlbtoplevel Social Sciences
dc.description.peerreviewed Peer Reviewed en_US
dc.contributor.affiliationum Information, School of en_US
dc.contributor.affiliationum College of Engineering en_US
dc.contributor.affiliationum Robotics Institute en_US
dc.contributor.affiliationother Toyota Research Institute en_US
dc.contributor.affiliationumcampus Ann Arbor en_US
dc.description.bitstreamurl https://deepblue.lib.umich.edu/bitstream/2027.42/151794/1/TRI_Frontiers_in_Robotics_and_AI_finalPublicCopyOct 25 2019.pdf
dc.identifier.doi 10.3389/frobt.2019.00117
dc.identifier.source Frontiers in Robotics and AI en_US
dc.identifier.orcid 0000-0002-1410-2601 en_US
dc.description.filedescription Description of TRI_Frontiers_in_Robotics_and_AI_finalPublicCopyOct 25 2019.pdf : Accepted file
dc.identifier.name-orcid Robert, Lionel P.; 0000-0002-1410-2601 en_US
dc.owningcollname Information, School of (SI)
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