Enhancing collision prediction in older adults via perceptual training in virtual reality emphasizing object expansion
The TE-group showed significant improvement in collision prediction compared to the IC-group, indicating that training focused on the perception of object expansion was more effective than simple repetition of its evaluation task. However, neither sensitivity to object expansion nor the accuracy of road-crossing decisions improved significantly, suggesting that other factors may have contributed to the observed improvement.
Authors
- Kazuyuki Sato (ORCID: https://orcid.org/0009-0003-5020-2460)
- Takahiro Higuchi (ORCID: https://orcid.org/0000-0002-1989-736X)
Institutions
- Tokyo Metropolitan University (JP)
- Friedrich Schiller University Jena (DE)
Publication Details
- Journal
- Frontiers in Sports and Active Living
- Published
- 2025-11-04
- DOI
- https://doi.org/10.3389/fspor.2025.1652911
- Citations
- 1
- Primary Topic
- Virtual Reality Applications and Impacts
- Type
- article
- Field-Weighted Citation Impact
- 1.94