Gemini redux: Understanding player perception of accumulated context
Bibliographic record
Abstract
A lack of activity and increased sedentary behavior provide serious health risks in the developed world. Replacing sedentary screen time like watching TV or playing traditional video games has been one proposed method to address this issue through technology. However, active screen time requires that players be in a specific place to exercise, and is therefore less appealing for anti-sedentary behavior measures which must occur regularly throughout the day regardless of the user's location. Linking activity to mobile devices is a more appealing method for combating sedentary behavior. A particularly appealing class of games in this category is the Pervasive Accumulated Context Exergame (PACE) which passively collects activity during the day, and rewards the participant in a later sedentary game. However, it is unclear how the in game rewards are mediated by play style and feedback. In this paper, we examine a highly sophisticated PACE game through a user study to understand how users perceive their activity.
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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) | 0.000 | 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 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".