Analysis and Observation of Behavioral Factors Contributing to Improvement of Embodiment to a Supernumerary Limb

Nonoka Nishida, Yukiko Iwasaki, Theophilus Teo, Masaaki Fukuoka, Maki Sugimoto, Po Han Chen, Fumihiro Kato, Michiteru Kitazaki, Hiroyasu Iwata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Research has been conducted on attaching a robotic arm to a human body and using it as a supernumerary limb. However, it remains unclear what type of behaviors contribute to the induction of embodiment in a supernumerary limb. In this study, we created a virtual environment where we could observe behaviors that contribute to the embodiment of avatars and tools, such as "looking at one's own body in a mirror,""moving the supernumerary limb quickly and accurately,"and "paying constant attention to the supernumerary limb,"and verified whether these behaviors are also effective in inducing the embodiment of the supernumerary limb. After spending 40 min in a behavior observation space, the left hand, the side with the supernumerary limb, was used significantly less frequently. In addition to these behaviors, "self-touching,""transferring objects between their own hand and the supernumerary limb,"and "whole-body movement"were also observed. The observations suggest that these behaviors may change the awareness of the supernumerary limb and contribute to the improvement of its embodiment.

Original languageEnglish
Title of host publicationProceedings of Augmented Humans Conference 2022, AHs 2022
PublisherAssociation for Computing Machinery
Number of pages5
ISBN (Electronic)9781450396325
Publication statusPublished - 2022 Mar 13
Event2022 Augmented Humans Conference, AHs 2022 - Virtual, Online, Germany
Duration: 2022 Mar 132022 Mar 15

Publication series

NameACM International Conference Proceeding Series


Conference2022 Augmented Humans Conference, AHs 2022
CityVirtual, Online


  • Human Augmentation
  • Human-Robot Interaction
  • Virtual Reality

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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