NDLI: Cognitive workload classification using eye-tracking and EEG data

Content Provider	ACM Digital Library
Author	De Simone, Flavia Moravek, Zdenek Lobo, Jesus L. Collina, Simona Ser, Javier Del Presta, Roberta
Abstract	It has been shown that an increased mental workload in pilots could lead to a decrease in their situation awareness, which could lead, in turn, to a worse piloting performance and ultimately to critical human errors. Assessing the current pilot's psycho-physiological state is a hot topic of interest for developing advanced embedded cockpits systems capable of adapting their behavior to the state and performance of the pilot. In this work, we investigate a method to classify different levels of cognitive workload starting from synchronized EEG and eye-tracking information. The classifier object of the research is targeted to score a performance high enough to be applicable as a gauge for performance of unobtrusive monitoring systems working with data of lower quality.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781450344067
DOI	10.1145/2950112.2964585
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Adaptive systems Eye-tracking Electro-encephalography (eeg) Empathic systems Cognitive workload Multiclass classification
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Cognitive workload classification using eye-tracking and EEG data