Abstract
The gaze movement from a driver represents specific skills related to safe driving. Driving maneuvering evaluation is to know driving fitness. We found that gaze movement entropy is highly sensitive to visual behavior demands while driving a vehicle and the workload level. Entropy measures were more sensitive, more robust, and easier to calculate than gaze established measures. The gaze movement measures were collected using a driving simulator, using five different simulate routes and tree different workload scenarios; one route of familiarization was used to create a baseline. Because the workload became more difficult, drivers looked more at the central part of the road for more extended periods, the gaze movement entropy values decreased when the workload was increased, and the results show differences between two levels of workload. Also, the entropy result is compared against the classical analysis of the spatial distribution of gaze.
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Acknowledgements
This research was partly funded by an NSERC Discovery grant and Essilor Industrial Research Chair (IRCPJ 305729-13), Research and development cooperative NSERC-Essilor Grant (CRDPJ 533187 - 2018), Prompt
Author Contribution
M-R.S. led the design of the research method and implemented the data analysis. M-R.S participated in preparing of the conclusions based on the results. MJ collected the raw data on how to work for his Ph.D. research. All authors took part in the paper preparation and edition.
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The authors of this manuscript declare no conflict of interest. We express that the sponsors had no role in the design of the study, analysis, and writing of the manuscript and the decision to publish the results.
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Mejia-Romero, S., Michaels, J., Eduardo Lugo, J., Bernardin, D., Faubert, J. (2021). Gaze Movement’s Entropy Analysis to Detect Workload Levels. In: Kaiser, M.S., Bandyopadhyay, A., Mahmud, M., Ray, K. (eds) Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 1309. Springer, Singapore. https://doi.org/10.1007/978-981-33-4673-4_13
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DOI: https://doi.org/10.1007/978-981-33-4673-4_13
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