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dc.contributor.authorWright, Jonathanen
dc.contributor.authorStafford-Fraser, Quentinen
dc.contributor.authorMahmoud, Marwaen
dc.contributor.authorRobinson, Peteren
dc.contributor.authorDias, Eduardoen
dc.contributor.authorSkrypchuk, Leeen
dc.date.accessioned2018-11-01T14:03:57Z
dc.date.available2018-11-01T14:03:57Z
dc.date.issued2017-09en
dc.identifier.isbn978-1-5386-3906-1en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/284533
dc.description.abstractThe process of driving a car involves a cognitive load that varies over time. Additional load comes from secondary factors not directly associated with the driving process, including navigation devices, entertainment systems and the car’s own warnings. In this paper, we present a framework for intelligent scheduling of in-car notifications based on the driver’s estimated cognitive load. As the single channel for communication, it reschedules the notifications using a priority queue, and relays them to the driver based on the urgency of the notification and the overall estimated cognitive load being experienced by the driver at any given moment. We evaluate our system using a dataset collected from a car’s CAN bus during multiple onroad trials and show that our proposed approach reduces the number of simultaneous calls on the driver’s attention during the driving task. We also demonstrate that our intelligent scheduling significantly reduces the maximum cognitive load experienced by the driver and the frequency with which high loads occur.
dc.publisherIEEE
dc.titleIntelligent scheduling for in-car notifications.en
dc.typeConference Object
prism.endingPage6
prism.publicationDate2017en
prism.publicationNameRTSIen
prism.startingPage1
dc.identifier.doi10.17863/CAM.31907
dcterms.dateAccepted2017-06-28en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2017-09en
dc.contributor.orcidRobinson, Peter [0000-0003-0347-3789]
dc.contributor.orcidSkrypchuk, Lee [0000-0002-9619-6161]
rioxxterms.typeConference Paper/Proceeding/Abstracten
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8058118en
pubs.conference-nameIEEE Forum on Research and Technologies for Society and Industryen
pubs.conference-start-date2017-09-11en
rioxxterms.freetoread.startdate2018-10-11


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