MISC

査読有り
2017年

Estimation of task difficulty and habituation effect while visual manipulation using pupillary response

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Asami Matsumoto
  • ,
  • Yuta Tange
  • ,
  • Atsushi Nakazawa
  • ,
  • Toyoaki Nishida

10165
開始ページ
24
終了ページ
35
記述言語
英語
掲載種別
記事・総説・解説・論説等(国際会議プロシーディングズ)
DOI
10.1007/978-3-319-56687-0_3
出版者・発行元
Springer Verlag

In this paper, we show the relationship between pupil dilation and visualmanipulation tasks to measure the magnitude of individual habituation effect and task difficulty. Our findings show that pupil dilation can be used as a new physiological signal in the application of audience measurement, affective computing, affective communications, and user interface design. We built a pointer maze game where a subject moves a pointer from start to end positions on a straight pathway, and we observe the subject’s pupil size while changing the pathway width and performing the game repeatedly. Through the two experiments, we found the maximum pupil size increases during the game when the pathway narrows. The first experiment indicates the difficulty of the task (narrower pathway) is related to the larger pupil diameter. On the basis of these results, we built models relating to (1) pupil size and pathway width, (2) pupil size and duration, and (3) pathway width and duration. The second experiment indicates the pupil constriction is related to the habituation effect of the users. While a similar effect has already been reported, the magnitude of pupil dilation during our task was about ten times as high as that in other tasks, so our confidence in the model is high.

リンク情報
DOI
https://doi.org/10.1007/978-3-319-56687-0_3
ID情報
  • DOI : 10.1007/978-3-319-56687-0_3
  • ISSN : 1611-3349
  • ISSN : 0302-9743
  • SCOPUS ID : 85018572721

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