This paper is in the following e-collection/theme issue:

Usability and Technology Use Studies with Elder Subjects (273) Games and Gamification for Health (786) Game Design and Efficacy of Game Elements (95) Extended Reality, Virtual Reality and Virtual Worlds (769) Serious Games for Health and Medicine (810) Cognitive and Neurorehabilitation (355) Gamification (156) Cognitive Training for the Elderly (153)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64004, first published .
A Self-Adaptive Serious Game to Improve Motor Learning Among Older Adults in Immersive Virtual Reality: Short-Term Longitudinal Pre-Post Study on Retention and Transfer

A Self-Adaptive Serious Game to Improve Motor Learning Among Older Adults in Immersive Virtual Reality: Short-Term Longitudinal Pre-Post Study on Retention and Transfer

A Self-Adaptive Serious Game to Improve Motor Learning Among Older Adults in Immersive Virtual Reality: Short-Term Longitudinal Pre-Post Study on Retention and Transfer

Authors of this article:

Gauthier Everard1, 2, 3 Author Orcid Image ;   Louise Declerck3 Author Orcid Image ;   Thierry Lejeune3, 4, 5 Author Orcid Image ;   Martin Gareth Edwards5, 6 Author Orcid Image ;   Justine Bogacki3 Author Orcid Image ;   Cléo Reiprich3 Author Orcid Image ;   Kelly Delvigne3 Author Orcid Image ;   Nicolas Legrain3 Author Orcid Image ;   Charles Sebiyo Batcho1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Alhasan H, Alandijani E, Bahamdan L, Khudary G, Aburaya Y, Awali A, Alshehri M. Home-Based Virtual Reality Training for Enhanced Balance, Strength, and Mobility Among Older Adults With Frailty: Systematic Review and Meta-Analysis. JMIR Serious Games 2025;13:e67146 View
  2. Xu J, Zhang W, Liu W. Research Status and Trends in Virtual Reality Technology for Older Adults: Bibliometric and Visual Analysis. JMIR Aging 2025;8:e76609 View
  3. Sorrentino G, Edwards M, Baldini N, Mustile M, Lejeune T, Everard G. REAsmash-ET: a methodological framework for combined cognitive and motor assessment through eye-tracking and kinematic metrics in immersive VR search-and-reach task. Journal of NeuroEngineering and Rehabilitation 2025 View