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Record W2132990399 · doi:10.1177/000841740507200107

The Influence of Virtual Reality Play on Children'S Motivation

2005· article· en· W2132990399 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2005
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVirtual realityPsychologyOccupational therapyHuman–computer interactionDevelopmental psychologyComputer science

Abstract

fetched live from OpenAlex

PURPOSE: This study explored the degree of motivation children exhibit during virtual reality (VR) play sessions. METHOD: Sixteen children with cerebral palsy aged 8 to 12 years participated. They were observed during a variety of VR environments that were video recorded. The Pediatric Volitional Questionnaire (PVQ) was used to measure children's motivation. The PVQ provides insights into children's inner motives as well as how the virtual environment enhances or attenuates children's motives. Nine VR environments were randomly selected to score with the PVQ. RESULTS: Data were analyzed and descriptive statistics were calculated for modes and medians of total volition scores for each VR environment. Different environments produced varying levels of volitional behaviour. The features of environments that produced higher levels of volition included challenge, variability and competition. PRACTICE IMPLICATIONS: The overall volitional scores of children with cerebral palsy in the current study indicate that VR play is a motivating activity and thus has potential as a successful intervention tool.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.966
Threshold uncertainty score0.225

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 science0.0010.000
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 head0.071
GPT teacher head0.333
Teacher spread0.262 · 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