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Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving

dc.contributor.authorDu, Na
dc.contributor.authorZhou, Feng
dc.contributor.authorPulver, Elizabeth
dc.contributor.authorTilbury, Dawn
dc.contributor.authorRobert, Lionel + "Jr"
dc.contributor.authorPradhan, Anuj
dc.contributor.authorYang, X. Jessie
dc.date.accessioned2020-01-12T12:23:44Z
dc.date.available2020-01-12T12:23:44Z
dc.date.issued2020-01-12
dc.identifier.citationDu, N., Zhou, F., Pulver, E., Tilbury, D., Robert, L. P., Pradhan, A. and Yang, X. J. accepted in 2020. Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving. Transportation Research Part C: Emerging Technologies, forthcoming.en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/152470
dc.description.abstractIn conditionally automated driving, drivers have difficulty in takeover transitions as they become increasingly decoupled from the operational level of driving. Factors influencing takeover performance, such as takeover lead time and the engagement of non-driving related tasks, have been studied in the past. However, despite the important role emotions play in human-machine interaction and in manual driving, little is known about how emotions influence drivers’ takeover performance. This study, therefore, examined the effects of emotional valence and arousal on drivers’ takeover timeliness and quality in conditionally automated driving. We conducted a driving simulation experiment with 32 participants. Movie clips were played for emotion induction. Participants with different levels of emotional valence and arousal were required to take over control from automated driving, and their takeover time and quality were analyzed. Results indicate that positive valence led to better takeover quality in the form of a smaller maximum resulting acceleration and a smaller maximum resulting jerk. However, high arousal did not yield an advantage in takeover time. This study contributes to the literature by demonstrating how emotional valence and arousal affect takeover performance. The benefits of positive emotions carry over from manual driving to conditionally automated driving while the benefits of arousal do not.en_US
dc.description.sponsorshipMcityen_US
dc.description.sponsorshipNational Science Foundationen_US
dc.language.isoen_USen_US
dc.publisherTransportation Research Part C: Emerging Technologiesen_US
dc.subjectautomated drivingen_US
dc.subjectself-driving carsen_US
dc.subjecttakeover requestsen_US
dc.subjecttakeover transitionen_US
dc.subjectSAE level 3en_US
dc.subjectautonomous drivingen_US
dc.subjecthuman-automation interactionen_US
dc.subjecthuman-robot interactionen_US
dc.subjectconditional automationen_US
dc.subjectemotionsen_US
dc.subjecttakeover performanceen_US
dc.subjectautomobilesen_US
dc.subjectautomotive technologiesen_US
dc.subjectadvanced driving systemsen_US
dc.subjectautomated vehiclesen_US
dc.subjectassisted driving systemsen_US
dc.subjectemotional valenceen_US
dc.subjectemotional arousalen_US
dc.titleExamining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Drivingen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationumCollege of Engineeringen_US
dc.contributor.affiliationumRobotics Instituteen_US
dc.contributor.affiliationotherUniversity of Massachusetts Amhersten_US
dc.contributor.affiliationotherState Farm Mutual Automobile Insurance Companiesen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/152470/1/Du et al. 2020 (PrePrint).pdf
dc.identifier.sourceTransportation Research Part C: Emerging Technologiesen_US
dc.identifier.orcid0000-0002-1410-2601en_US
dc.description.filedescriptionDescription of Du et al. 2020 (PrePrint).pdf : Preprint file
dc.identifier.name-orcidRobert, Lionel P.; 0000-0002-1410-2601en_US
dc.owningcollnameInformation, School of (SI)


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