Mundo de Pólus serious game for people with bipolar disorder
Bibliographic record
Abstract
BACKGROUND: Serious games are play-based technologies designed to teach users a wide range of concepts and skills applicable in the non-virtual environment. OBJECTIVES: This paper describes the process of developing a serious game for people with bipolar disorder to promote symptom recognition and the safe use of medications. METHODS: This study was based on the User-Centered Design methodological model and the theoretical framework for Participatory Design. We conducted interviews with health professionals and discussion circles with people with bipolar disorder and their family members in order to identify the learning needs related to symptom recognition and safe medication use. A categorical analysis was completed of the participants' reports and the scientific literature and formed the basis for the design of Mundo de Pólus. RESULTS: The game development process had three pillars (detailed in this manuscript): missions, simulation, and journal. The serious game focuses on the users' perceptions about their experience with the disorder, their interpersonal relationships, coping strategies, use of medications, and non-pharmacological treatments. CONCLUSIONS: These scientific and technological outcomes are useful to promote literacy and safety in medication therapy for people with bipolar disorder.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".