Abstract—Recently, we can use cheap and easy to use eye
gazing measurement tools. However, these tools generate large
amount of data that represent the gazing points. This paper
proposes a method to analyze the eye gazing data on reading
aloud and problem solving activities. The proposed method
finds irregular pupils. The algorithm and the experimental
results are proposed.
Index Terms—Eye gazing, reading activity, problem solving, automatic analysis.
Kyota Aoki and Khoji Harada are with Utsunomiya University, Utsunomiya, Japan (e-mail: firstname.lastname@example.org, email@example.com).
Shinjiro Murayama is with University of Tsukuba, Tokyo, 112-0015 Japan (e-mail: firstname.lastname@example.org).
Cite: Kyota Aoki, Shinjiro Murayama, and Kohji Harada, "Analysis of Eye Gazing on Read Aloud and Problem Solving Activities," International Journal of Information and Education Technology vol. 9, no. 7, pp. 477-482, 2019.Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).