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