Trevor Bihl (Committee Member), Frank Ciarallo (Committee Member), Mary Fendley (Advisor)
Master of Science in Industrial and Human Factors Engineering (MSIHE)
Understanding cognitive workload has become a vital topic for researchers in developing future systems. Existing research has investigated the use of physiological measurements of the eye with cognitive workload, though a quantitative synthesis has yet to be performed. A meta-analysis was conducted to examine the effects of cognitive workload on eye-related measurements. The objective of this meta-analysis is not to determine a difference between the levels of workload, but to identify reliable measurements. Measurements through blinks, saccades, pupils, and fixations were examined. Twenty-two studies, contributing to a total of sixty entries, met the appropriate inclusion criteria for the meta-analysis. Findings conclude the use of specific eye-related measurements as a reliable assessment of cognitive workload. Similar results obtained for moderator variables of task type and eye-tracking system did not indicate significant influences. Further research should be conducted in this domain to identify causal influences and provide an understanding for the results.
Department or Program
Department of Biomedical, Industrial, and Human Factors Engineering
Year Degree Awarded
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