How to best and robustly detect human systemic cognitive states like workload, sense of urgency, mind wandering, in- terference, and others is still an open question as the answer essentially depends both on the employed physiological mea- surements as well as the trained computational classification models. In this paper, we analyze data from a human driv- ing experiment to explore the validity of eye gaze in assess- ing different systemic cognitive states and relations among them. Our statistical analyses and classification results indi- cate that eye gaze, in particular the percentage change in pupil size (PCPS), is a reliable physiological biomarker in assessing multiple systemic human cognitive states including workload, sense of urgency (SoU), and mind wandering (MW) while it does not seem suitable to detect task interference (which can be assessed based on participant’s response times.
@inproceedings{aygunetal2024cogsci,
title={Assessment of Multiple Systemic Human Cognitive States using Pupillometry},
author={Aygun, Ayca and Nguyen, Thuan and Scheutz, Matthias},
year={2024},
booktitle={Proceedings of the 46th Annual Meeting of the Cognitive
Science Society},
url={https://hrilab.tufts.edu/publications/aygunetal2024cogsci.pdf}
}