Preliminary Investigation of a Videogame Prototype for Cigarette and Marijuana Prevention in Adolescents
Bibliographic record
Abstract
BACKGROUND: Videogames are becoming increasingly popular to deliver health interventions; however, their role in the primary prevention of cigarette and marijuana use has not yet been evaluated. The purpose of this study was to conduct a preliminary test of the efficacy of a role-playing videogame prototype, smokeSCREEN, aimed at developing knowledge and behavioral skills associated with primary prevention of cigarette and marijuana use. The authors also explored participants' gameplay experience. METHODS: = 11.56, SD = 0.77) who had never tried cigarettes or marijuana. Participants played four 1-hour gameplay sessions over a 2-week period. Assessments of knowledge, self-efficacy, attitudes, perceived norms, and intentions related to cigarette and marijuana prevention were collected at baseline and 2-week and 12-week follow-ups. Ratings of gameplay experience were collected after the 2 weeks of gameplay. One-way repeated-measures analyses of variance (ANOVAs) were conducted. RESULTS: Findings are (1) improvements in knowledge for both cigarette (Wilks' λ = 0.62, F(2, 23) = 7.21, P = .004) and marijuana (Wilks' λ = 0.67, F(2, 23) = 5.75, P = .009) use from pre- to post-gameplay that were characterized by large effects; and (2) nonsignificant trends in the expected direction emerged for changes in self-efficacy and perceived norms related to both cigarettes and marijuana that were characterized by medium-large effects. Overall, the players provided positive reports of their experience with the smokeSCREEN videogame prototype. CONCLUSIONS: These findings provide preliminary evidence that a videogame has the potential to influence key cognitive and motivational variables and can be an engaging means to deliver a cigarette and marijuana prevention intervention.
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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".