Gaming Systems and Geriatrics: A Guide for the Use and Identification of Gaming Systems and Games within Occupational Therapy Interventions
Bibliographic record
Abstract
Participation in meaningful activities is an important aspect of occupational therapy interventions in geriatric settings. As people age, they are confronted with decreased physical and mental capabilities and an increased susceptibility to disease that limits functional independence. Incorporating opportunities for physical, cognitive, and social activity into interventions will help older adults improve their quality of life. Gaming systems such as the Nintendo WiiTM, Xbox KinectTM, or the Omni VRTM provide occupational therapists with a modality that addresses client factors in a way that combines physical, cognitive, and social factors while also being meaningful and fun. However, many occupational therapists are unfamiliar with the gaming systems and lack sufficient time to identify the ways in which performance skills and client factors may be addressed by the games. A user manual, comprised of a quick start guide and activity analysis charts for each gaming system, was created for the occupational therapists at Tacoma Lutheran Retirement Community in order to quickly illustrate how to operate the gaming systems and identify client factors that each game may address within a treatment session.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".