Gaze pattern analysis in multi-display systems for teleoperated disaster response robots

Ryuya Sato, Mitsuhiro Kamezaki, Shigeki Sugano, Hiroyasu Iwata

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

In unmanned construction, work efficiency is lower than that in manned construction due to lack of visual information. Thus, we previously developed an autonomous camera control system to provide various visual information suited to work states through multiple displays. However, that system increased the cognitive load on operators, and required them to have much experience to choose appropriate views for various situations. Next, we should investigate the degree of effectiveness for each view in a certain state. Thus, in this study, we analyzed gaze patterns to clarify which are the displays that operators often watch in work states, i.e., moving, grasping, transport, and releasing. We then derived which gaze patterns have higher work performance, including time efficiency and safeness. We clustered gaze patterns using Ward's method, which is a criterion applied in hierarchical clustering. To evaluate the objective of this study, we conducted experiments involving debris transport tasks, using a virtual reality simulator. The results indicated that gaze patterns differed in operators and we found that better time efficiency related to specific gaze patterns for each work state.

本文言語English
ホスト出版物のタイトル2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3534-3539
ページ数6
ISBN(電子版)9781509018970
DOI
出版ステータスPublished - 2017 2月 6
イベント2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, Hungary
継続期間: 2016 10月 92016 10月 12

出版物シリーズ

名前2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings

Other

Other2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
国/地域Hungary
CityBudapest
Period16/10/916/10/12

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • 人工知能
  • 制御と最適化
  • 人間とコンピュータの相互作用

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