Author ORCID Identifier

Francesco N. Biondi : 0000-0002-5558-4707

Prarthana Pillai : 0000-0001-8875-3784

Prathamesh Ayare : 0000-0003-3631-6384

Balakumar Balasingam : 0000-0002-2669-7585

Document Type


Publication Date


Publication Title

Data in Brief




Cognitive load detection;Eye-tracking;Pupil dilation;Human-computer interface;Detection response task (DRT);Psychological signals;Detection;Signal processing; Machine learning


The dataset contains the following three measures that are widely used to determine cognitive load in humans: Detection Response Task - response time, pupil diameter, and eye gaze. These measures were recorded from 28 participants while they underwent tasks that are designed to permeate three different cognitive difficulty levels. The dataset will be useful to those researchers who seek to employ low cost, non-invasive sensors to detect cognitive load in humans and to develop algorithms for human-system automation. One such application is found in Advanced Driver Assistance Systems where eye-trackers are employed to monitor the alertness of the drivers. The dataset would also be helpful to researchers who are interested in employing machine learning algorithms to develop predictive models of humans for applications in human-machine system automation. The data is collected by the authors at the Department of Electrical & Computer Engineering in collaboration with the Faculty of Human Kinetics at the University of Windsor under the guidance of their Research Ethics Board.



Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.