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Record W7102648390 · doi:10.2196/79453

Immersive Tai Chi for Home-Based Exercise in Older Adults: Usability and Feasibility Study

2025· article· en· W7102648390 on OpenAlexvenueno aff

Bibliographic record

VenueJMIR Serious Games · 2025
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsUsabilityNoveltyKey (lock)Physical activityPsychological interventionOlder people

Abstract

fetched live from OpenAlex

Background: Longer life expectancy makes physical exercise crucial for active aging. However, adherence to traditional exercise among community-dwelling older adults is generally low. Virtual reality (VR) and mixed reality (MR) Tai Chi exergames, as novel health promotion tools, show significant potential, particularly for older adults exercising in a home setting. Objective: This study aimed to evaluate the usability and feasibility of a VR and MR Tai Chi exergame for community-dwelling older adults, focusing on subjective experience, physiological comfort, and objective interaction performance. The study also explored the relationships between key usability factors and sought to quantify links between objective accuracy and subjective experience (the Game Experience Questionnaire or Virtual Reality Sickness Questionnaire [VRSQ]) to inform choices of display mode, feedback strength, and session length. Methods: Of the 86 community-dwelling older adults recruited for this study, data from 70 participants were considered valid after an initial screening, during which 16 (18.6%) were excluded due to issues with VR adaptation. Participants were sequentially assigned in a rotating order to 1 of 4 variants (VR/MR×soothing/intense) to balance exposure; however, primary analyses were preplanned to be collapsed across variants, focusing on whole-sample usability and feasibility rather than confirmatory between-group hypotheses. The primary outcome measures included the Game Experience Questionnaire, VRSQ, and objective gameplay logs. Results: The VR/MR Tai Chi game demonstrated good overall usability and acceptability among the screened participants. Subjective experience was highly positive, with median scores for "positive affect" (median 4.0) and "competence" (median 3.8) being significantly high, whereas the median for "Challenge" (median 1.4) was significantly low (P<.001 for all). Physiological comfort in the postscreening sample was acceptable, with the most common mild symptoms being dizziness with eyes closed (20.0%) and vertigo (18.6%), both of low severity; however, the initial exclusion of 18.6% of participants due to VR discomfort is noteworthy. Therefore, generalizability is limited because the analyzed sample overrepresents older adults who tolerate immersive displays. Accuracy showed significant positive correlations with flow (ρ=0.342) and competence (ρ=0.322), whereas the VRSQ total score was significantly negatively correlated with positive affect (ρ=-0.334, P=.005). Conclusions: Tai Chi exergames based on immersive technologies offer a feasible and attractive pathway for promoting physical exercise among community-dwelling older adults, particularly within the home environment, supporting the goal of aging in place. As a single, laboratory-based session, the reported satisfaction may partly reflect a novelty effect; therefore, longer-term, home-based follow-ups are needed to assess durability. Analysis of the key usability factors provides guidance for specific design choices, while also indicating directions for future research, such as longitudinal evaluations, extension to more diverse populations, and application in real-world home settings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.771

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.376
Teacher spread0.360 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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