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The Impact of Modality, Technology Suspicion, and NDRT Engagement on the Effectiveness of AV Explanations

dc.contributor.authorZHANG, QIAONING
dc.contributor.authorESTERWOOD, CONNOR
dc.contributor.authorPRADHAN, ANUJ
dc.contributor.authorTILBURY, DAWN
dc.contributor.authorYANG, JESSIE
dc.contributor.authorROBERT, LIONEL
dc.date.accessioned2023-08-03T20:49:38Z
dc.date.available2023-08-03T20:49:38Z
dc.date.issued2023-08-03
dc.identifier.citationZhang, Q., Esterwood, C., Pradhan, A., Tilbury, D., Yang, X. J. and Robert, L. P. (2023). The Impact of Modality, Technology Suspicion, and NDRT Engagement on the Effectiveness of AV Explanations, IEEE Access, https://doi.org/10.1109/ACCESS.2023.3302261.en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/177446en
dc.description.abstractExplanations — reasons or justifications for action — are being used to promote the acceptance of automated vehicles (AVs). Yet, it is unclear whether and how the modality of explanation affects its effectiveness. Despite its importance in the technology acceptance literature, the impact of technology suspicion on the adoption of AVs is yet to be fully examined. To expand our understanding of AV explanation, we conducted a within-subjects experiment with 32 participants using a high-fidelity driving simulator. Four conditions were presented to participants: (1) auditory explanation with a nondriving-related task (NDRT), (2) auditory explanation without NDRT, (3) visual explanation with NDRT, and (4) visual explanation without NDRT. The results indicate that auditory explanations are more effective in reducing anxiety and unsafety perception for high-suspicion individuals, especially in the absence of NDRT. Conversely, individuals who are less technology suspicious prefer visual explanations, which can result in lower levels of anxiety and perceived unsafety. The study highlights the importance of considering individuals’ technology suspicion and engagement with NDRT when selecting the appropriate explanation modality, and the findings can guide the design of future AV systems to promote effective human-machine interaction.en_US
dc.description.sponsorshipMCity under the University of Michigan Office of Researchen_US
dc.language.isoen_USen_US
dc.publisherIEEE Accessen_US
dc.subjectXAIen_US
dc.subjectAutomated Vehiclesen_US
dc.subjectVehiclesen_US
dc.subjectSelf-driving carsen_US
dc.subjectExplanationsen_US
dc.subjectAV Explanationsen_US
dc.subjectAutonomous Vehicles Explanationsen_US
dc.subjectnon-driving- related tasken_US
dc.subjectauditory explanationen_US
dc.subjectvisual explanationen_US
dc.subjectTechnology Suspicionen_US
dc.subjecttechnology acceptanceen_US
dc.subjectadvanced driver assistance systemen_US
dc.subjectanxietyen_US
dc.subjectCommunication Modalityen_US
dc.titleThe Impact of Modality, Technology Suspicion, and NDRT Engagement on the Effectiveness of AV Explanationsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelInformation Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationumRobotics Departmenten_US
dc.contributor.affiliationumCollege of Engineeringen_US
dc.contributor.affiliationotherUniversity of Massachusettsen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/177446/1/Zhang et al. 2023 (Preprint).pdf
dc.identifier.doi10.1109/ACCESS.2023.3302261
dc.identifier.doihttps://dx.doi.org/10.7302/8000
dc.identifier.sourceIEEE Accessen_US
dc.identifier.orcid0000-0002-1410-2601en_US
dc.description.filedescriptionDescription of Zhang et al. 2023 (Preprint).pdf : Preprint
dc.description.depositorSELFen_US
dc.identifier.name-orcidRobert, Lionel P.; 0000-0002-1410-2601en_US
dc.working.doi10.7302/8000en_US
dc.owningcollnameInformation, School of (SI)


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