Literature DB >> 22269561

Distracted driving in elderly and middle-aged drivers.

Kelsey R Thompson1, Amy M Johnson, Jamie L Emerson, Jeffrey D Dawson, Erwin R Boer, Matthew Rizzo.   

Abstract

Automobile driving is a safety-critical real-world example of multitasking. A variety of roadway and in-vehicle distracter tasks create information processing loads that compete for the neural resources needed to drive safely. Drivers with mind and brain aging may be particularly susceptible to distraction due to waning cognitive resources and control over attention. This study examined distracted driving performance in an instrumented vehicle (IV) in 86 elderly (mean=72.5 years, SD=5.0 years) and 51 middle-aged drivers (mean=53.7 years, SD=9.3 year) under a concurrent auditory-verbal processing load created by the Paced Auditory Serial Addition Task (PASAT). Compared to baseline (no-task) driving performance, distraction was associated with reduced steering control in both groups, with middle-aged drivers showing a greater increase in steering variability. The elderly drove slower and showed decreased speed variability during distraction compared to middle-aged drivers. They also tended to "freeze up", spending significantly more time holding the gas pedal steady, another tactic that may mitigate time pressured integration and control of information, thereby freeing mental resources to maintain situation awareness. While 39% of elderly and 43% of middle-aged drivers committed significantly more driving safety errors during distraction, 28% and 18%, respectively, actually improved, compatible with allocation of attention resources to safety critical tasks under a cognitive load.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22269561      PMCID: PMC3266512          DOI: 10.1016/j.aap.2011.09.040

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  31 in total

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  14 in total

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7.  Driving with pets and motor vehicle collision involvement among older drivers: A prospective population-based study.

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9.  Use of multilevel modeling to examine variability of distracted driving behavior in naturalistic driving studies.

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