Eye tracking has become increasingly applied in medical education research for studying the cognitive processes that occur during the performance of a task, such as image interpretation and surgical skills development. However, analysis and interpretation of the large amount of data obtained by eye tracking can be confusing. In this article, our intention is to clarify the analysis and interpretation of the data obtained from eye tracking. Understanding the relationship between eye tracking metrics (such as gaze, pupil and blink rate) and cognitive processes (such as visual attention, perception, memory and cognitive workload) is essential. The importance of calibration and how the limitations of eye tracking can be overcome is also highlighted.
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Fed Univ ABC, Ctr Math Comp & Cognit, Grad Program Neurosci & Cognit, Sao Bernardo Do Campo, BrazilFed Univ ABC, Ctr Math Comp & Cognit, Grad Program Neurosci & Cognit, Sao Bernardo Do Campo, Brazil
Soares Jr, Raimundo da Silva
Barreto, Candida
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Univ Johannesburg, Fac Educ, Sci & Math Primary Sch, Dept Integrated Studies Learning Language, Johannesburg, South AfricaFed Univ ABC, Ctr Math Comp & Cognit, Grad Program Neurosci & Cognit, Sao Bernardo Do Campo, Brazil
Barreto, Candida
Sato, Joao R.
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Fed Univ ABC, Ctr Math Comp & Cognit, Grad Program Neurosci & Cognit, Sao Bernardo Do Campo, BrazilFed Univ ABC, Ctr Math Comp & Cognit, Grad Program Neurosci & Cognit, Sao Bernardo Do Campo, Brazil
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Womens Coll Hosp, Div Dermatol, Toronto, ON, CanadaMcMaster Univ, Fac Med, Michael G DeGroote Sch Med, 1280 Main St West, Hamilton, ON L8S 4L8, Canada