Literature DB >> 16170949

Effects of voice technology on test track driving performance: implications for driver distraction.

Thomas A Ranney1, Joanne L Harbluk, Y Ian Noy.   

Abstract

This work compares the degradation in driving performance associated with secondary tasks performed with voice-based and visual/manual interfaces, including radio tuning, phone dialing, and more complex tasks involving a sequence of interactions with an in-vehicle computer system. Twenty-one participants drove an instrumented vehicle while performing a combination of car-following, peripheral target detection, and secondary tasks on a closed test track. Drivers compensated for increased task demands associated with secondary tasks by increasing their following distance. Performing secondary tasks also resulted in significant decrements to vehicle control, target detection, and car-following performance. The voice-based interface helped reduce the distracting effects of secondary task performance. Modest improvements were observed for measures of vehicle control and target detection but not for car following. The results indicated that performing in-vehicle tasks required diversion of both peripheral (visual and manual) and attentional (cognitive) resources from driving. The voice-based interface reduced the peripheral impairment but did not appreciably reduce the attentional impairment. Actual or potential applications of this research include improvements to the design of invehicle information systems and the development of evaluation protocols to assess their distraction potential.

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Year:  2005        PMID: 16170949     DOI: 10.1518/0018720054679515

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  3 in total

1.  A decrease in brain activation associated with driving when listening to someone speak.

Authors:  Marcel Adam Just; Timothy A Keller; Jacquelyn Cynkar
Journal:  Brain Res       Date:  2008-02-19       Impact factor: 3.252

2.  Multi-modal assessment of on-road demand of voice and manual phone calling and voice navigation entry across two embedded vehicle systems.

Authors:  Bruce Mehler; David Kidd; Bryan Reimer; Ian Reagan; Jonathan Dobres; Anne McCartt
Journal:  Ergonomics       Date:  2015-10-12       Impact factor: 2.778

3.  Research on a Cognitive Distraction Recognition Model for Intelligent Driving Systems Based on Real Vehicle Experiments.

Authors:  Qinyu Sun; Chang Wang; Yingshi Guo; Wei Yuan; Rui Fu
Journal:  Sensors (Basel)       Date:  2020-08-07       Impact factor: 3.576

  3 in total

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