Modeling the effects of auditory display takeover requests on drivers’ behavior in autonomous vehicles

dc.contributor.authorKo, S.en
dc.contributor.authorZhang, Y.en
dc.contributor.authorJeon, Myounghoonen
dc.date.accessioned2025-01-09T20:44:57Zen
dc.date.available2025-01-09T20:44:57Zen
dc.date.issued2019-09-21en
dc.date.issued2019-09-21en
dc.description.abstractIn semi-autonomous vehicles (SAE level 3) that require driver’s engagement in critical situations, it is important to secure reliable control transitions. There have been many studies on investigating appropriate auditory displays for takeover request (TOR) but most of them were empirical experiments. In the present study, we established two computational models using a Queuing Network Model Human Processor (QN-MHP) framework to predict a driver’s reaction time to auditory displays for TOR. The reaction time for different sound types were modeled based on the results of subjective questionnaire in empirical studies. Separately, the reaction times for various non-speech sounds were modeled by using acoustical characteristics of sounds and previous empirical studies. It is one of a few attempts modeling the effects of auditory displays for TOR on the reaction time in autonomous driving. The current study will contribute to driving research by allowing us to simulate and predict drivers’ behavior.en
dc.description.versionPublished versionen
dc.format.extentPages 392-398en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1145/3349263.3351508en
dc.identifier.orcidJeon, Myounghoon [0000-0003-2908-671X]en
dc.identifier.urihttps://hdl.handle.net/10919/124073en
dc.language.isoenen
dc.publisherACMen
dc.relation.urihttps://doi.org/10.1145/3349263.3351508en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleModeling the effects of auditory display takeover requests on drivers’ behavior in autonomous vehiclesen
dc.title.serialAdjunct Proceedings - 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019en
dc.typeConference proceedingen
dc.type.dcmitypeTexten
dc.type.otherConference Proceedingen
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/Engineeringen
pubs.organisational-groupVirginia Tech/Engineering/Industrial and Systems Engineeringen
pubs.organisational-groupVirginia Tech/All T&R Facultyen
pubs.organisational-groupVirginia Tech/Engineering/COE T&R Facultyen

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