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Crash Risk: Eye Movement as Indices for Dual Task Driving Workload
Author(s) -
Julie Kang,
Zheng Bian,
George J. Andersen
Publication year - 2009
Language(s) - English
Resource type - Conference proceedings
DOI - 10.17077/drivingassessment.1343
Subject(s) - workload , computer science , dual (grammatical number) , crash , task (project management) , eye movement , artificial intelligence , computer vision , engineering , operating system , art , literature , systems engineering
The goal of the present study was to examine eye movements as a function of dual task difficulty while driving. Two tasks were examined: maintaining a predetermined distance while car following and detecting a light change.Task demands were manipulated by varying the amplitude of lead vehicle’s (LV) speed change and increasing the average LV speed. As task demands increased, the number of saccades decreased. There was no significant difference in number of fixations, fixation duration, number of eye blinks, or pupil size. While car following performance did not change, drivers were more accurate at the light detection task at the 100% amplitude condition verses the 120%.

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