A Cross-Cultural Study of Trust Building in Autonomous Vehicles
dc.contributor.author | Du, Na | |
dc.contributor.author | Tilbury, Dawn | |
dc.contributor.author | Robert, Lionel + "Jr" | |
dc.contributor.author | Yang, X. Jessie | |
dc.contributor.author | Pradhan, Anuj | |
dc.date.accessioned | 2018-03-08T15:26:28Z | |
dc.date.available | 2018-03-08T15:26:28Z | |
dc.date.issued | 2018-05-18 | |
dc.identifier.citation | Na Du, Robert, L. P., Pradhan,, A., Tilbury, D. and Yang, X. J. A Cross-Cultural Study of Trust Building in Autonomous Vehicles presented at the Conference on Autonomous Vehicles in Society: Building a Research Agenda, May 18-19 2018, East Lansing, MI, | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/142564 | |
dc.description.abstract | Trust in autonomous vehicles (AVs) has become as a key determinant of drivers' acceptance of AVs and explanations are often at the heart of this trusting relationship. This study explores, in consideration of cultural and personality differences, how explanation timing and permission of AV's action affect trust building in the AV. To examine the research question, we design a video-based online survey platform and collect data from participants with different cultural backgrounds and personalities. We expect that our results will have important implications for the design of AV's information delivery. | en_US |
dc.description.sponsorship | University of Michigan | en_US |
dc.description.sponsorship | mcity | en_US |
dc.language.iso | en_US | en_US |
dc.subject | autonomous vehicles | en_US |
dc.subject | self driving | en_US |
dc.subject | AV | en_US |
dc.subject | autonomous vehicles trust | en_US |
dc.subject | Culture | en_US |
dc.subject | Cultural and technology | en_US |
dc.subject | technology acceptance | en_US |
dc.subject | technology trust | en_US |
dc.subject | artificial intelligence | en_US |
dc.subject | personality | en_US |
dc.subject | individual differences | en_US |
dc.subject | automated cars | en_US |
dc.subject | automotive | en_US |
dc.subject | automotive engineering | en_US |
dc.subject | car | en_US |
dc.subject | human computer interaction | en_US |
dc.subject | social computing | en_US |
dc.subject | social informatics | en_US |
dc.title | A Cross-Cultural Study of Trust Building in Autonomous Vehicles | 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 | Transportation Research Institute | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/142564/1/Du et al. 2018.pdf | |
dc.identifier.source | Conference on Autonomous Vehicles in Society: Building a Research Agenda | en_US |
dc.identifier.orcid | 0000-0002-1410-2601 | en_US |
dc.description.filedescription | Description of Du et al. 2018.pdf : Main Article | |
dc.identifier.name-orcid | Robert, Lionel P.; 0000-0002-1410-2601 | en_US |
dc.owningcollname | Information, School of (SI) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.