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Record W4402886255 · doi:10.2196/preprints.66673

Feasibility, usability, and effects of the leisure-based cognitive training using a fully immersive virtual reality system in older adults: Pilot single-arm pre-post study (Preprint)

2024· preprint· en· W4402886255 on OpenAlexaboutno aff
I‐Ching Chuang, Xiaoting Huang, I-Chen Chen, Yih‐Ru Wu, Ching‐Yi Wu

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicAugmented Reality Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPreprintUsabilityVirtual realityHuman–computer interactionTraining (meteorology)MultimediaPsychologyComputer scienceApplied psychologyWorld Wide WebGeography

Abstract

fetched live from OpenAlex

BACKGROUND Cognitive training has been shown to improve cognitive function in older adults, with the inclusion of leisure activities such as gardening potentially enhancing both its effectiveness and enjoyment. Although fully immersive virtual reality (VR) training has demonstrated positive outcomes, research integrating leisure activities with VR for older adults remains sparse. We developed a VR system incorporating gardening to enhance cognitive function in community-dwelling older adults. OBJECTIVE This study aimed to assess the feasibility, usability, and preliminary effectiveness of leisure-based VR cognitive training for community-dwelling older adults. METHODS The fully immersive VR system used a head-mounted display for leisure-based cognitive training, featuring simulated gardening tasks (planting, fertilizing, harvesting) to enhance cognitive function. Participants trained twice weekly for 1 hour over 8 weeks. Feasibility and usability were assessed by older adults and professionals. Outcome measures were the Montreal Cognitive Assessment (MoCA), Digit Symbol Substitution Test (DSST), Word List subtests and Spatial Span subtests of the Wechsler Memory Scale (WMS-WL and WMS-SS), and the Stroop Color and Word Test (SCWT), with assessments conducted before and after training. RESULTS The study recruited 41 elderly participants, all of whom completed the 16 VR training sessions with 100% attendance. Acceptance of the VR experience (PU, PE, UE, ITU) was above average, with a usability score of 68, rated "average." After training, significant improvements were seen in MoCA (p= 0.004), DSST (p= 0.049), WMS-WL (p< 0.001), and SCWT (p= 0.002), but no significant change was found for WMS-SS (p= 0.29). CONCLUSIONS Our findings show that the leisure-based VR cognitive training system is feasible, usable, and effective in enhancing cognitive function in community-dwelling older adults. Future studies should include control groups to confirm these results. CLINICALTRIAL ClinicalTrials.gov Identifier NCT05227495. (01/04/2021)

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.048
GPT teacher head0.308
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes1
Has abstractyes

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