Voluntary self-tapping induces self-localization shift

Masahiro Furukawa, Kouta Minamizawa, Susumu Tachi

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


Rubber Hand Illusion (RHI) is known to provide a proprioceptive drift toward the direction where the rubber hand is tapped. On the other hand, Out-of-Body Experiences (OBEs) induce an entire body shift from a third-person Point of View (PoV). These experiences are known to trigger external passive tactile cues. Telexistence allows an entire body shift from a first-person PoV, compared to RHI and OBE. However, the precise origin of the entire localization is not revealed when we actively provide the internal voluntary tactile cue. Therefore, in this paper, we focus on the effects of tactile cues to determine self-localization during the action of self-tapping. Participants viewed and tapped their own body on the back, and evaluated where on their body they perceived the tapping. The experiments show that the localized position tends to shift forward when an individual is tapped by a third-person; in contrast, the localized position tends to shift backward when an individual is tapping his own back. The subjective report indicates that participants perceived themselves as leaving their own bodies, or that someone appeared in front of them suddenly. Thus, we consider that self-produced tactile cue induces telexistence experience.

Original languageEnglish
Title of host publicationProceedings - IEEE International Workshop on Robot and Human Interactive Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
Publication statusPublished - 2014 Oct 15
Event23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014 - Edinburgh, United Kingdom
Duration: 2014 Aug 252014 Aug 29


Other23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014
Country/TerritoryUnited Kingdom

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition


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