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Review of eye-related measures of drivers’ mental workload

Published on Jan 1, 2015in Procedia Manufacturing
· DOI :10.1016/j.promfg.2015.07.783
Gerhard Marquart2
Estimated H-index: 2
(TU Delft: Delft University of Technology),
Christopher Cabrall9
Estimated H-index: 9
(TU Delft: Delft University of Technology),
Joost C. F. de Winter7
Estimated H-index: 7
(TU Delft: Delft University of Technology)
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Abstract
The assessment of mental workload could be helpful to road safety especially if developments of vehicle automation will increasingly place drivers into roles of supervisory control. With the rapidly decreasing size and increasing resolution of cameras as well as exponential computational power gains, remote eye measurements are growing in popularity as non-obtrusive and non-distracting tools for assessing driver workload. This review summarizes literature on the relation between eye measurement parameters and drivers’ mental workload. Various eye activity measures including blinks, fixations, and saccades have previously researched and confirmed as useful estimates of a driver's mental workload. Additionally, recent studies in pupillometry have shown promise for real-time prediction and assessment of driver mental workload after effects of illumination are accounted for. Specifically, workload increases were found to be indicated by increases in blink latency, PERCLOS, fixation duration, pupil dilation, and ICA; by decreases in blink duration and gaze variability; and with mixed results regarding blink rate. Given such a range of measures available, we recommend using multiple assessment methods to increase validity and robustness in driver assessment.
  • References (42)
  • Citations (27)
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References42
Newest
#1Oskar Palinko (UNH: University of New Hampshire)H-Index: 9
#2Andrew L. Kun (UNH: University of New Hampshire)H-Index: 15
#1Ying Wang (MIT: Massachusetts Institute of Technology)H-Index: 7
#2Bryan Reimer (MIT: Massachusetts Institute of Technology)H-Index: 30
Last.Bruce Mehler (MIT: Massachusetts Institute of Technology)H-Index: 21
view all 4 authors...
Oct 28, 2013 in AutomotiveUI (Automotive User Interfaces and Interactive Vehicular Applications)
#1Vera Demberg (Saarland University)H-Index: 13
#2Asad B. Sayeed (Saarland University)H-Index: 8
Last.Christian A. Müller (German Research Centre for Artificial Intelligence)H-Index: 15
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Jan 1, 2013 in INTERSPEECH (Conference of the International Speech Communication Association)
#1Andrew L. Kun (UNH: University of New Hampshire)H-Index: 15
#2Oskar Palinko (UNH: University of New Hampshire)H-Index: 9
Last.Peter A. HeemanH-Index: 21
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Cited By27
Newest
#1Da Tao (SZU: Shenzhen University)H-Index: 3
#2Xu Zhang (SZU: Shenzhen University)
Last.Tingru Zhang (SZU: Shenzhen University)H-Index: 4
view all 6 authors...
#1Karim Habib (U of A: University of Alberta)
#2Amr Shalkamy (U of A: University of Alberta)H-Index: 1
Last.Karim El-Basyouny (U of A: University of Alberta)H-Index: 18
view all 3 authors...
#1Jamison Heard (Vandy: Vanderbilt University)H-Index: 1
#2Rachel Heald (KU: University of Kansas)
Last.Julie A. Adams (OSU: Oregon State University)H-Index: 22
view all 4 authors...
View next paperON THE MEASUREMENT OF DRIVER MENTAL WORKLOAD