Presentation | 2018-03-03 Study of Visual Cognition Estimation based on Gaze Movements and target Visual Cognition Difficultly Hideho Sakaguchi, Akira Utsumi, Kenji Susami, Tadahisa Kondo, Masayuki Kanbara, Norihiro Hagita, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Proper estimation of human visual awareness is significant to realize an efficient support for visual tasks such as vehicle driving. We examine a method to estimate occurrences of human visual cognition. Several methods based on gaze movement have been proposed to estimate human visual awareness where simple thresholding rules on target-gaze angles are employed. However, those methods take no account of the variety of target visual appearances. In our previous studies, we clarified the relationship between gaze behavior in visual search tasks and the target’s VCDs (Visual Cognition Difficulties) defined as performance values on visual search tasks for a particular target. In this paper, we evaluate the estimation performance by using machine-learning based implementation. The results suggest the improvement of performance for visual cognition estimation by considering the target’s VCDs. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | gaze movements / Visual Cognition Difficultly / machine learning / Convolutional Neural Network (CNN) |
Paper # | HIP2017-96 |
Date of Issue | 2018-02-24 (HIP) |
Conference Information | |
Committee | HIP / ASJ-H |
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Conference Date | 2018/3/3(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | IT Souzoukan, Naha City |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | VR Psychology, Human Information Processing, Physiological Acoustics, Speech, Acoustics in general |
Chair | Masahiro Ishii(Sapporo City Univ.) / Tatsuya Hirahara(Toyama Pref. Univ.) |
Vice Chair | Miyuki Kamachi(Kogakuin Univ.) / Shuichi Sakamoto(Tohoku Univ.) / Seiji Nakagawa(Chiba Univ.) |
Secretary | Miyuki Kamachi(Univ. of Tsukuba) / Shuichi Sakamoto(Nagoya Univ.) / Seiji Nakagawa(NICT) |
Assistant | Atsushi Wada(NICT) / Kanaya Hidetoshi(Aichi Syukutoku Univ.) / Rika Mochizuki(NTT) |
Paper Information | |
Registration To | Technical Committee on Human Information Processing / Auditory Research Meeting |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Study of Visual Cognition Estimation based on Gaze Movements and target Visual Cognition Difficultly |
Sub Title (in English) | |
Keyword(1) | gaze movements |
Keyword(2) | Visual Cognition Difficultly |
Keyword(3) | machine learning |
Keyword(4) | Convolutional Neural Network (CNN) |
1st Author's Name | Hideho Sakaguchi |
1st Author's Affiliation | Nara Institute of Science and Technology/Advanced Telecommunications Research Institute International(NAIST/ATR) |
2nd Author's Name | Akira Utsumi |
2nd Author's Affiliation | Advanced Telecommunications Research Institute International(ATR) |
3rd Author's Name | Kenji Susami |
3rd Author's Affiliation | Advanced Telecommunications Research Institute International/Kindai University(ATR/Kindai Univ.) |
4th Author's Name | Tadahisa Kondo |
4th Author's Affiliation | Kogakuin University(Kogakuin Univ.) |
5th Author's Name | Masayuki Kanbara |
5th Author's Affiliation | Nara Institute of Science and Technology/Advanced Telecommunications Research Institute International(NAIST/ATR) |
6th Author's Name | Norihiro Hagita |
6th Author's Affiliation | Advanced Telecommunications Research Institute International/Nara Institute of Science and Technology(ATR/NAIST) |
Date | 2018-03-03 |
Paper # | HIP2017-96 |
Volume (vol) | vol.117 |
Number (no) | HIP-470 |
Page | pp.pp.17-20(HIP), |
#Pages | 4 |
Date of Issue | 2018-02-24 (HIP) |