Spatial cognition is a function that strongly affects adaptation. This is particularly evident when it is impaired, as often happens after brain injury. Neglect, or hemispatial visual neglect, is a dramatic consequence of right hemisphere damage that leads patient to ignore the left, controlateral part of the space. It is assessed with tasks and tests that require to direct attention on the whole visual field, both on left and right. Also in healthy people, spatial exploration is not perfectly symmetrical, as witnessed by the phenomenon called pseudo-neglect. In recent years, these tools have been enhanced by new technological solutions, producing new data. In this paper, we describe our attempt to use Artificial Intelligence for the assessment of spatial cognition starting from the enhanced version of the Baking Tray Task, the e-BTT. Results indicate that Artificial Intelligence can be an effective method to analyze these new data thus leading to a more comprehensive assessment.

Artificial Intelligence Applied to Spatial Cognition Assessment

Ponticorvo M.;Gigliotta O.;Bartolomeo P.;Marocco D.
2022

Abstract

Spatial cognition is a function that strongly affects adaptation. This is particularly evident when it is impaired, as often happens after brain injury. Neglect, or hemispatial visual neglect, is a dramatic consequence of right hemisphere damage that leads patient to ignore the left, controlateral part of the space. It is assessed with tasks and tests that require to direct attention on the whole visual field, both on left and right. Also in healthy people, spatial exploration is not perfectly symmetrical, as witnessed by the phenomenon called pseudo-neglect. In recent years, these tools have been enhanced by new technological solutions, producing new data. In this paper, we describe our attempt to use Artificial Intelligence for the assessment of spatial cognition starting from the enhanced version of the Baking Tray Task, the e-BTT. Results indicate that Artificial Intelligence can be an effective method to analyze these new data thus leading to a more comprehensive assessment.
978-3-031-06241-4
978-3-031-06242-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/899361
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