A machine learning approach for detecting cognitive interference based on eye-tracking data

HIGHLIGHTS

  • who: Antonio Rizzo from the Department of Social, Political and Science, University of Siena, Siena, Italy, Technische Fakultu00e4t have published the research: A Machine Learning Approach for Detecting Cognitive Interference Based on Eye-Tracking Data, in the Journal: (JOURNAL)
  • what: The authors analyzed the vision behavior of subjects involved in a Stroop test (Stroop, 1935) while performing two different visual tasks, naming and reading, to explore possible effects on human attention on such behavior. The second and third comparisons are the focus of the presented work, carried out to assess if different attention levels, required . . .

     

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