Abstract

The car of the future will have many new information sources - including telematics systems, navigation systems and Advanced Driver Assistance Systems (ADAS) - that will compete for a driver's limited cognitive attention. If they are implemented as completely separate systems then cognitive overload and driver distraction are inevitable outcomes. However, if they are implemented as an integrated intelligent system with a multi-modal interface, then the benefits of such functionality will be achieved with much less impact on driving safety. Such a system will support the task of safe driving by filtering and mediating information in response to real-world driving demands. This paper outlines the human factors research program being undertaken by Motorola Labs to evaluate key elements of such a multi-model interface as well as the key human factors issues involved in a multi-modal interface.


Original document

The different versions of the original document can be found in:

http://ir.uiowa.edu/cgi/viewcontent.cgi?article=1015&context=drivingassessment,
https://trid.trb.org/view/709407,
http://drivingassessment.uiowa.edu/DA2001/16_Wheatley_David.pdf,
https://core.ac.uk/display/100041649,
https://academic.microsoft.com/#/detail/251790699
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Published on 01/01/2017

Volume 2017, 2017
DOI: 10.17077/drivingassessment.1015
Licence: CC BY-NC-SA license

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