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This study explores the use of eye-tracking technology to enhance neurocognitive assessments by analyzing eye movement data from subjects performing the Trail Making Test (TMT-A and TMT-B). By applying statistical complexity measures such as Shannon entropy and Fisher information, the research reveals insights into the cognitive processes and difficulties faced by subjects during the tasks. The findings suggest that eye-tracking data can provide valuable parameters for more refined psychological evaluations

Author

gomez0natalia

Language

EN