Designing Serious Games for Cognitive Assessment of the Elderly
Why this work is in the frame
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Bibliographic record
Abstract
The under-diagnosis of cognitive impairments can lead to increased economic burden, hospitalization, and even death (Inouye, Bogardus, Baker, Leo-Summers, & Cooney, 2000). Many of the current cognitive tests have been developed to diagnose specific conditions. However, there is a lack of cognitive tools to assess transitory conditions that occur between normal cognition and cognitive failure such as delirium. In this paper, we discuss the development of a serious game for cognitive assessment of the elderly that can address this gap. We introduce the whack-a-mole game that we have developed and present initial findings concerning its usability and validity in university and elderly populations. We conclude by discussing the role of human factors engineering, and associated design methodologies, in developing serious games of this type.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it