Gamification and economic behavior: Geospatial insights into mobile exercise app usage in South Korea
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study investigates how mobile exercise app-enabled gamified benefits (epistemic, personal integrative, and social integrative) independently and interactively influence economic outcomes from a nationwide perspective. Utilizing unique data on physical exercise and shopping activities collected from 7558 South Korean exercise app users over 3 years, we employed aspatial and spatial econometric models, along with visualization techniques, to examine the spatially varying relationships between gamified benefits and shopping behaviors at the municipality level. The results indicate that while social integrative benefits decreased shopping frequency and amount, the interaction terms of epistemic and social integrative benefits positively influenced shopping frequency. Furthermore, our spatial analysis suggests that the gamification–shopping relationship varied based on specific gamified benefits and across individual and clustered districts, cities, and counties across South Korea. These insights can guide local governments and tourism firms, suggesting opportunities to promote destination-specific gamified services for boosting the local economy.
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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 | 0.000 |
| 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 | 0.001 |
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