Predicting drowsiness accidents from personal attributes, eye blinks and ongoing driving behaviour.

Author(s)
Verwey, W.B. & Zaidel, D.M.
Year
Abstract

26 participants drove at night for 135 min on a simulated two lane rural road with light traffic and filled out a battery of questionnaires. Six drivers left the road entirely and ten others left the pavement with one or two wheels. Drivers scoring high on an "extraversion-boredom" personality cluster were more likely to depart from the road due to falling asleep. Drivers scoring high on a "disinhibition-honesty" cluster were more likely to cross solid lane markings but did not seem to fall asleep. The best predicting measures for poor driving were the frequency of eye-closures exceeding 1 s and the number of times that time-to-line crossings were below 0.5 s. The participants' own judgements on susceptibility to drowsiness was a poor predictor. Dissociation of physiological and subjective measures was observed and explained by a two level information processing model. (A)

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Publication

Library number
20000280 ST [electronic version only]
Source

Personality and Individual Differences, Vol. 28 (2000), No. 1, p. 123-142, 57 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.