Human Factors and Ergonomics Issues When Supporting School Education Life with Telepresence Robot Technology

DOI Web Site 17 References Open Access
  • EBARA Takeshi
    Graduate School of Medical Sciences, Nagoya City University Medical School, Nagoya City University
  • YAMADA Shota
    Graduate School of Medical Sciences, Nagoya City University Medical School, Nagoya City University
  • HATTA Yoshifumi
    Graduate School of Medical Sciences, Nagoya City University Medical School, Nagoya City University
  • KAMAKURA Yoshiyuki
    Faculty of Information Science and Technology, Osaka Institute of Technology
  • AKAI Ai
    Faculty of Robotics and Design, Osaka Institute of Technology
  • OHSUGA Mieko
    Faculty of Robotics and Design, Osaka Institute of Technology

Bibliographic Information

Other Title
  • テレプレゼンスロボット技術を活用した学校教育生活支援時の人間工学課題
  • -Focusing on Head, Neck, and Viewing Angles While Operating Tablet Devices
  • -タブレット情報機器操作時の頭頸部角度・視角情報に注目して-

Abstract

<p>Telepresence robots using tablet devices are attracting attention as one of the key support measures for students under long-term medical treatment or truant from school. This study aimed to research the characteristics of head/neck angles and gaze information (viewing angle, gazing rate, and viewing distance) of junior and senior high school students under three class categories when they participated in their actual classes using a telepresence robot. Six participants (five healthy junior high school students and one high school student with cancer under hospitalization) participated voluntarily. They attended three class categories, namely classroom lectures, breaks, and exercise classes, using a telepresence robot. Their head/neck angles and gaze information were analyzed. The head flexion angle was significantly deeper during the classroom lecture (-20.4°) than during the exercise class (-4.7°) and break (-12.3°, p<0.01, p=0.06). While the gazing rate on screen reached 56% during the classroom lecture, it was 89% during seminar lectures and 88% during breaks (p=0.01, p=0.02). Based on these biomechanical/visual characteristics of telepresence robot use, we identified and summarized ergonomic issues to be addressed in the future when implementing the telepresence robots in school education.</p>

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