Virtual Pet Companion \nA digital console to enhance the Experience of Children with Cerebral Palsy
Bibliographic record
Abstract
This research investigates the use of game style consoles as service technology for children with Cerebral Palsy, in order to help them develop their fine motor skills and thereby become more independent in interactions with family and caregivers. The game involves a virtual pet companion for a six-year-old child with Cerebral Palsy currently living in Toronto. It was designed specifically to cater to his interests and needs; however, this research more broadly seeks to explore the potentiality of video games for rehabilitation for children with Cerebral Palsy, taking into account the propensity and interest children often have for new technologies. Drawing from research on Cerebral Palsy, the psychology of play, existing service technologies for children with disabilities, pet therapy and gamification, my project provides insight into how new interactive technologies can afford children with Cerebral Palsy the opportunity to interact more easily with the physical world.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".