Title :
Evaluation model of cognitive distraction state based on eye-tracking data using neural networks
Author :
Harada, Tatsuya ; Iwasaki, Hisao ; Mori, Kazuo ; Yoshizawa, Akira ; Mizoguchi, Fumio
Author_Institution :
Tokyo Univ. of Sci., Chiba, Japan
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.
Keywords :
cognition; neural nets; car driving; cognitive distraction state; eye-tracking data; neural networks; personal distraction; Context; Data models; Educational institutions; Load modeling; Recurrent neural networks; Vehicles; car driving; distraction model; distraction state; eye tracking; neural networks;
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4799-0781-6
DOI :
10.1109/ICCI-CC.2013.6622278
