STD PONG 2.0: Field Evaluation of a Mobile Persuasive game for Discouraging Risky Sexual Behaviours among Africans Youths
Bibliographic record
Abstract
Playing mobile games has become a very popular activity in our society today. Aside from being a very common leisure-time activity, researchers have begun to design games to solve real-life problems in many domains, including in the domain of health and wellness. A major challenge in the domain of health and wellness is the spread of Sexually Transmitted Diseases (STDs). This paper presents the design and field evaluation of a mobile persuasive game intervention aimed at promoting change in risky sexual behaviour among African youths titled STD PONG 2. 0. The results of the field evaluation on 41 African youths showed that STD PONG 2.0 was effective at motivating change in risky sexual behaviours by promoting a positive attitude, intention, and self-efficacy against risky sexual behaviours. The game also led to a significant increase in the knowledge about STDs and its preventive measures. Finally, we propose some design suggestions for developing persuasive games targeted at Africans generally and African rural communities based on our findings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".