Evidence map›Paper›PMID 39307847›Full record

ArticleScientific reports2024

Effects of within-day intervals on adaptation to visually induced motion sickness in a virtual-reality motorcycling simulator.

Chihiro Kasegawa, Yoshihiro Itaguchi, Yumi Yamawaki, Masayuki Miki, Masami Hayashi, Makoto Miyazaki

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Chihiro Kasegawa *Department of Informatics, Graduate School of Integrated Science and Technology, Shizuoka University, Hamamatsu, 432-8011, Japan.
Yoshihiro Itaguchi *Department of Psychology, Keio University, Tokyo, 108-8345, Japan. itaguchi@keio.jp.
Yumi YamawakiDepartment of Informatics, Graduate School of Integrated Science and Technology, Shizuoka University, Hamamatsu, 432-8011, Japan.
Masayuki MikiYamaha Motor Co., Ltd., Iwata, 438-8501, Japan.
Masami HayashiDepartment of Informatics, Graduate School of Integrated Science and Technology, Shizuoka University, Hamamatsu, 432-8011, Japan.
Makoto MiyazakiDepartment of Informatics, Graduate School of Integrated Science and Technology, Shizuoka University, Hamamatsu, 432-8011, Japan. miyazaki-makoto@inf.shizuoka.ac.jp.

Funding

Japan Society for the Promotion of Science 22H00502
6 · The paper itself

Abstract

This study investigated the effects of the time interval between virtual reality (VR) sessions on visually induced motion sickness (VIMS) reduction to better understand adaptation to and recovery from a nauseating VR experience. The participants experienced two 6-min VR sessions of a first-person motorcycle ride through a head-mounted display with (1) a 6-min interval, (2) an interval until the VIMS score reached zero, and (3) a 60-min interval. The results showed that for each condition, VIMS in the second session was aggravated, unchanged, or attenuated, respectively, indicating that additional resting time was necessary for VIMS adaptation. This study suggests that a certain type of multisensory learning attenuates VIMS symptoms within a relatively short time, requiring at least 20 min of additional resting time after subjective recovery from VIMS symptoms. This finding has important implications for reducing the time interval between repeated challenges when adapting to nauseating stimuli during VR experiences.

Indexed as

Adaptation, PhysiologicalMotion SicknessMotorcyclesVirtual RealityAdultFemaleHumansMaleTime FactorsYoung AdultAdaptationMotion sicknessMultisensory learningSimulator sicknessVirtual reality

Identifiers

PMID39307847
PMCPMC11417106

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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.