Identification of Driver Distraction in Automotive Environments
dc.contributor.author | Paczkowski, Oliver | |
dc.contributor.author | Müller, Jörg | |
dc.contributor.editor | Lucke, Ulrike | de_DE |
dc.contributor.editor | Kindsmüller, Martin Christof | de_DE |
dc.contributor.editor | Fischer, Stefan | de_DE |
dc.contributor.editor | Herczeg, Michael | de_DE |
dc.contributor.editor | Seehusen, Silke | de_DE |
dc.date.accessioned | 2017-11-22T14:42:23Z | |
dc.date.available | 2017-11-22T14:42:23Z | |
dc.date.issued | 2008 | |
dc.description.abstract | To identify times of unawareness of a driver in an automotive environment, in terms of not looking for the traffic, we suggest to rate operation elements according to the value of complexity of the secondary tasks they are used with. The median complexity rating is presented as an efficient predictor for this task. | de_DE |
dc.identifier.isbn | 978-3-8325-2007-6 | en_US |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/6993 | |
dc.language.iso | en | de_DE |
dc.publisher | Logos Verlag | de_DE |
dc.relation.ispartof | Workshop Proceedings der Tagungen Mensch & Computer 2008, DeLFI 2008 und Cognitive Design 2008 | de_DE |
dc.title | Identification of Driver Distraction in Automotive Environments | de_DE |
dc.type | Text/Conference Paper | de_DE |
gi.citation.endPage | 272 | |
gi.citation.publisherPlace | Berlin | de_DE |
gi.citation.startPage | 267 | de_DE |
gi.conference.sessiontitle | Automotive User Interfaces and Interactive Applications | |
gi.document.quality | digidoc | de_DE |
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