Evaluation model of cognitive distraction state based on eye-tracking data using neural networks

Taku Harada, Hirotoshi Iwasaki, Kazuaki Mori, Akira Yoshizawa, Fumio Mizoguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Eye tracking reveals a person's state of mind. Thus, representing personal cognitive states using eye tracking leads to objective evaluations of these states, and this can be applied to various fields. In this paper, we propose a model that evaluates the degree of personal distraction based on eye tracking. Moreover, we apply the proposed model to eye tracking for a person driving a car.

Original languageEnglish
Title of host publicationProceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013
Pages428-434
Number of pages7
DOIs
Publication statusPublished - 9 Dec 2013
Event12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013 - New York, NY, United States
Duration: 16 Jul 201318 Jul 2013

Publication series

NameProceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013

Conference

Conference12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013
CountryUnited States
CityNew York, NY
Period16/07/1318/07/13

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Keywords

  • Car driving
  • Distraction model
  • Distraction state
  • Eye tracking
  • Neural networks

Cite this

Harada, T., Iwasaki, H., Mori, K., Yoshizawa, A., & Mizoguchi, F. (2013). Evaluation model of cognitive distraction state based on eye-tracking data using neural networks. In Proceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013 (pp. 428-434). [6622278] (Proceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013). https://doi.org/10.1109/ICCI-CC.2013.6622278