Development of evaluation indexes for human-centered design of a wearable robot arm

Koki Nakabayashi, Yukiko Iwasaki, Hiroyasu Iwata

    研究成果: Conference contribution

    5 引用 (Scopus)

    抜粋

    A new type of wearable robot that assists the user with additional arms has been presented in recent years. Previous studies have reported that wearable robot arms allow wearer to perform multiple tasks simultaneously. Although concept designs have been qualitatively discussed, quantitative consideration in the design phase of wearable robot arms is necessary to improve their safety and operational efficiency. In order to evaluate the man-machine cooperativeness between users and wearable robot arms, the present paper proposes three evaluation indexes: workspace extensiveness, cooperativeness and invasiveness. The proposed evaluation indexes were defined according to the calculations of the common domain of the human workspace and the robot arm workspace. The calculation results suggest a design tradeoff between the work efficiency and the workspace invasiveness. The proposed indexes can be utilized as a new parameter for evaluating human-robot interactions of wearable robot arms.

    元の言語English
    ホスト出版物のタイトルHAI 2017 - Proceedings of the 5th International Conference on Human Agent Interaction
    出版者Association for Computing Machinery, Inc
    ページ305-310
    ページ数6
    ISBN(電子版)9781450351133
    DOI
    出版物ステータスPublished - 2017 10 17
    イベント5th International Conference on Human Agent Interaction, HAI 2017 - Bielefeld, Germany
    継続期間: 2017 10 172017 10 20

    Other

    Other5th International Conference on Human Agent Interaction, HAI 2017
    Germany
    Bielefeld
    期間17/10/1717/10/20

      フィンガープリント

    ASJC Scopus subject areas

    • Human-Computer Interaction

    これを引用

    Nakabayashi, K., Iwasaki, Y., & Iwata, H. (2017). Development of evaluation indexes for human-centered design of a wearable robot arm. : HAI 2017 - Proceedings of the 5th International Conference on Human Agent Interaction (pp. 305-310). Association for Computing Machinery, Inc. https://doi.org/10.1145/3125739.3125763