Interpretable Machine Learning Models for Three-Way Classification of Cognitive Workload Levels for Eye-Tracking Features

The paper is focussed on the assessment of cognitive workload level using selected machine learning models. In the study, eye-tracking data were gathered from 29 healthy volunteers during examination with three versions of the computerised version of the digit symbol substitution test (DSST). Unders...

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Detalles Bibliográficos
Autores principales: Kaczorowska, Monika, Plechawska-Wójcik, Małgorzata, Tokovarov, Mikhail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914927/
https://www.ncbi.nlm.nih.gov/pubmed/33572232
http://dx.doi.org/10.3390/brainsci11020210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914927/
https://www.ncbi.nlm.nih.gov/pubmed/33572232
http://dx.doi.org/10.3390/brainsci11020210

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