The IndieTrainer system: a small-scale trial exploring a new approach to support powered mobility skill acquisition in children
Bibliographic record
Abstract
The IndieTrainer system, consisting of a mobility device and video-based gamified training modules, was developed to assist children in attaining power wheelchair (PWC) skills. The purposes of this small-scale trial were to explore the use of the IndieTrainer system to provide PWC skills training and document parental satisfaction with the IndieTrainer system. We hypothesized that PWC skills training provided using the IndieTrainer system would result in improvements in both children’s understanding of how to use a PWC and their PWC skill execution, and that parental satisfaction would be high. An open-label, single-arm trial was conduct as follows: (a) Baseline testing (T0); (b) A 3-week intervention consisting of two, 60-min-PWC skills training sessions per week; (c) Post-intervention testing (T1); and (d) A single session retention trial held 4 weeks after completion of the intervention (T2). Outcome measures included the Assessment of Learning Powered mobility use (ALP), Wheelchair Skills Checklist (WSC), Canadian Occupational Performance Measure (COPM), and Client Satisfaction Questionnaire-8 (CSQ-8). 25 child/parent dyads participated. Between T0 and T1, statistically significant differences (p-value <.0001) with large effect sizes in mean ALP and WSC scores (ALP: d = 3.14; WSC: d = 3.25) and COPM performance and satisfaction scores (Performance: d = 4.66; Satisfaction: d = 3.24) were achieved. Mean T1 total CSQ-8 score was 31.52/32. At T2, all children maintained or improved their T1 ALP and WSC scores. This study provides initial support for the usability and feasibility of the IndieTrainer system. Futhermore, larger scaled studies using more rigorous research designs are indicated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".