Study on Attention Distribution for Supernumerary Limbs in Dual-task -Effectiveness of Vibration Feedback for Limb Posture

Kaito Kamishima, Fumihiro Kato, Yukiko Iwasaki, Nonoka Nishida, Hiroyasu Iwata

研究成果: Conference contribution

抄録

When using a supernumerary limb, it is necessary to pay appropriate attention to the supernumerary limb and recognize its state. In this study, we verified whether the posture of a supernumerary limb removed from a human and placed in an environment could be perceived from the tactile feedback in a dual-task. Then, we examined the effect of perceivability on dual-task performance. In the former verification, participants were asked to answer the position of a randomly stopped supernumerary limb while pouring a prescribed volume of water with their natural bodies. The latter was examined with 2 kinds of dual-tasks. Dual-task A required the tasks on the natural body and the supernumerary limb sides to have a common perceptual modality. Dual-task B did not require the tasks on the natural body and supernumerary limb sides to have a common perceptual modality. Thus, supernumerary limb location identification accuracy was as good in dual-task conditions as in single-task conditions. In addition, task performance in dual-task B was improved by the presence of tactile feedback.

本文言語English
ホスト出版物のタイトルProceedings - International Symposium on Measurement and Control in Robotics
ホスト出版物のサブタイトルRobotics and Virtual Tools for a New Era, ISMCR 2022
編集者Zafar Taqvi, Simone Keller Fuchter, Geraldo Gurgel Filho
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781665454964
DOI
出版ステータスPublished - 2022
イベント25th International Symposium on Measurement and Control in Robotics, ISMCR 2022 - Virtual, Online, United States
継続期間: 2022 9月 282022 9月 30

出版物シリーズ

名前Proceedings - International Symposium on Measurement and Control in Robotics: Robotics and Virtual Tools for a New Era, ISMCR 2022

Conference

Conference25th International Symposium on Measurement and Control in Robotics, ISMCR 2022
国/地域United States
CityVirtual, Online
Period22/9/2822/9/30

ASJC Scopus subject areas

  • 人工知能
  • 機械工学
  • 制御と最適化
  • 器械工学

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