Evidence map›Paper›PMID 39261561›Full record

ArticleScientific reports2024

Sense of embodiment with synchronized avatar during walking in mixed reality.

Guoran Tan, Hirotaka Uchitomi, Ryo Isobe, Yoshihiro Miyake

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Usefulness of Mixed Reality in Surgical Treatment: Delphi Study.Journal of medical Internet research · 2025
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Guoran TanDepartment of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, 226-8502, Japan.
Hirotaka UchitomiDepartment of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, 226-8502, Japan. uchitomi@c.titech.ac.jp.
Ryo IsobeDepartment of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, 226-8502, Japan.
Yoshihiro MiyakeDepartment of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, 226-8502, Japan.

Funding

Japan Science and Technology Agency JPMJCR21C5Japan Society for the Promotion of Science 22K17630
6 · The paper itself

Abstract

Gait guidance systems that synchronize the gait rhythm with an avatar in a mixed reality (MR) environment are attracting attention owing to their rehabilitation applications. More effective gait guidance can be achieved by changing body sensations for the sense of embodiment (SoE), which refers to the feeling of owning, controlling, and being inside a body in MR. This study investigated full-body synchronous motion between a human and a virtual avatar to enhance the SoE in walking with actual position changes in the real world. The full-body motion and gait rhythm were measured using body-worn inertial measurement units and a visual avatar was provided through a transparent head-mounted display. The results showed that the SoE of the participants was enhanced under higher synchronization conditions. In addition, questionnaire results showed that the SoE in the synchronous condition was significantly higher than that in the asynchronous condition, and the SoE in the self-avatar condition was significantly higher than that in the other-avatar condition. This indicates that a higher synchronization level with the appearance of an avatar leads to a stronger SoE in the human perception mechanism, which is important for potential application in medical or other fields.

Indexed as

WalkingAdultAugmented RealityAvatarFemaleGaitHumansMaleUser-Computer InterfaceVirtual RealityYoung Adult

Identifiers

PMID39261561
PMCPMC11390740

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.