Eye Movement Metrics as Indicator of Cognitive Loading: A Systematic Review
The mental effort expended in working memory to complete a task is referred to as cognitive load. Task difficulty rises when task complexity rises, using more cognitive resources and resulting in higher cognitive load. Cognitive overload has an impact on not just physical and mental health, but also job efficiency and safety. Quantifying cognitive load is therefore significant in domains such as education, vehicle driving, product creation, human-computer interface, diverse businesses, and military workstations. This review article examines previous studies in order to determine the most appropriate and practical way for evaluating and interpreting cognitive burden in a specific activity. Physiological metrics are more practical than subjective, behavioural, or physiological measures because they provide rapid quantification of cognitive load in a particular timeframe with greater accuracy.
Author(S) Details
Deepti Majumdar
Defence Institute of Physiology & Allied Sciences (DIPAS), Lucknow Road, Delhi, 110054, India.
Kiran Mondal
Defence Institute of Physiology & Allied Sciences (DIPAS), Lucknow Road, Delhi, 110054, India and Centre for Systems Biology & Bioinformatics, UIEAST, Panjab Univ. Chandigarh, 160014, India.
Tammanna R. Sahrawat
Centre for Systems Biology & Bioinformatics, UIEAST, Panjab Univ. Chandigarh, 160014, India.
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