Presentation 2022-09-13
Study on eye tracking based skill level estimation for assisting collaborative work
Ryohei Saijo, Hiromu Miyashita, Shohei Matsuo,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In collaborative work among multiple workers with different skill levels, communication discrepancies may occur due to differences in the skill level of the workers. Such discrepancies in communication lead to a deterioration in the efficiency and quality of work. This study aims to eliminate such discrepancies by presenting supplementary information to users during work according to their skill level. This paper first studied a method for estimating skill level based on collected gaze data during work on the Tsume-Shogi (Japanese chess) task performed in a VR space. The results suggest that it is possible to discriminate skilled from unskilled players using a model learned by SVM by extracting gaze data during the first 3 seconds of response to the task. It advanced the development of the skill level estimation method for assisting collaborative work.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) eye tracking / skill level estimation / assisting cooperative work / VR / tsume shougi(japanese chess) / mind-to-mind communications
Paper # LOIS2022-11,IE2022-33,EMM2022-39
Date of Issue 2022-09-06 (LOIS, IE, EMM)

Conference Information
Committee ITE-ME / EMM / IE / LOIS / IEE-CMN / IPSJ-AVM
Conference Date 2022/9/13(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Keio Univ. Yagami Campus (Hybrid)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair / Ryoichi Nishimura(NICT) / Kazuya Kodama(NII) / Hiroyuki Toda(NTT) / Shun Morimura(CRIEPI) / Hiroyuki Kasai(Waseda University)
Vice Chair / Kotaro Sonoda(Nagasaki Univ.) / Masatsugu Ichino(Univ. of Electro-Comm.) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) / Manabu Motegi(Takushoku Univ.) / Kouji Hirata(Kansai Univ)
Secretary / Kotaro Sonoda(Kaishi Professional Univ.) / Masatsugu Ichino(Chiba Univ.) / Hiroyuki Bandoh(KDDI Research) / Toshihiko Yamazaki(Nagoya Inst. of Tech.) / Manabu Motegi(Nagasaki Univ.) / Kouji Hirata(NTT) / (Tokai Univ.)
Assistant / Tomoko Kajiyama(Hiroshima City Univ.) / Shieyuki Sakazawa(Osaka Inst. of Tech.) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Mana Sasagawa(NTT) / Yuuichi Shinohara(TEPCO Power Grid) / Akihiro Tanaka(CRIEPI)

Paper Information
Registration To Technical Group on Media Engineering / Technical Committee on Enriched MultiMedia / Technical Committee on Image Engineering / Technical Committee on Life Intelligence and Office Information Systems / Technical Meeting on Communications / Special Interest Group on Audio Visual and Multimedia Information Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Study on eye tracking based skill level estimation for assisting collaborative work
Sub Title (in English)
Keyword(1) eye tracking
Keyword(2) skill level estimation
Keyword(3) assisting cooperative work
Keyword(4) VR
Keyword(5) tsume shougi(japanese chess)
Keyword(6) mind-to-mind communications
1st Author's Name Ryohei Saijo
1st Author's Affiliation NTT Digital Twin Computing Research Center, Nippon Telegraph and Telephone Corporation(NTT)
2nd Author's Name Hiromu Miyashita
2nd Author's Affiliation NTT Digital Twin Computing Research Center, Nippon Telegraph and Telephone Corporation(NTT)
3rd Author's Name Shohei Matsuo
3rd Author's Affiliation NTT Digital Twin Computing Research Center, Nippon Telegraph and Telephone Corporation(NTT)
Date 2022-09-13
Paper # LOIS2022-11,IE2022-33,EMM2022-39
Volume (vol) vol.122
Number (no) LOIS-177,IE-178,EMM-179
Page pp.pp.7-12(LOIS), pp.7-12(IE), pp.7-12(EMM),
#Pages 6
Date of Issue 2022-09-06 (LOIS, IE, EMM)