On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions

On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions

Cognitive workload, being a quantitative measure of mental effort, draws significant interest of researchers, as it allows to monitor the state of mental fatigue. Estimation of cognitive workload becomes especially important for job positions requiring outstanding engagement and responsibility, e.g....

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Bibliographic Details
Main Authors: Monika Kaczorowska, Paweł Karczmarek, Małgorzata Plechawska-Wójcik, Mikhail Tokovarov
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
aggregation
generalized Choquet integral
fuzzy measure
classical machine learning
cognitive workload
Online Access:https://www.mdpi.com/1424-8220/21/13/4542

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