Inducement of visual attention using augmented reality for multi-display systems in advanced tele-operation

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

Unmanned construction machines are used after disasters. Compared with manned construction, time efficiency is lower because of incomplete visual information, communication delay, and lack of tactile experience. We have developed an autonomous camera control system to supply appropriate visual information. In order to inform operators the potential data in the views, we introduced several augmented reality (AR) elements to induce visual attention to suitable images in a scenario. The purpose of this study is to develop an attention inducement system using AR technique and evaluate it under different conditions. We first improve our autonomous camera control system and then implement several kinds of AR items suitable for each work situation. The experimental results conducted using our virtual reality simulator confirm that AR items can supply a better positional relationship between machine and objects in the environment which makes operator handle the conditions as experienced. The results from eye-tracker data also indicate that AR items can induce visual attention to images suitable for situations.

本文言語English
ホスト出版物のタイトルIROS Hamburg 2015 - Conference Digest
ホスト出版物のサブタイトルIEEE/RSJ International Conference on Intelligent Robots and Systems
出版社Institute of Electrical and Electronics Engineers Inc.
ページ5364-5369
ページ数6
ISBN(電子版)9781479999941
DOI
出版ステータスPublished - 2015 12 11
イベントIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015 - Hamburg, Germany
継続期間: 2015 9 282015 10 2

出版物シリーズ

名前IEEE International Conference on Intelligent Robots and Systems
2015-December
ISSN(印刷版)2153-0858
ISSN(電子版)2153-0866

Other

OtherIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015
CountryGermany
CityHamburg
Period15/9/2815/10/2

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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