A Qualitative Exploration on the Role of Videogames during Difficult Times: An Emotion Regulation Perspective
Bibliographic record
Abstract
Videogames are used by many during difficult times to help alleviate stressors. Recent research suggests that videogames may facilitate recovery through regulating emotions and promoting positive wellbeing outcomes. However, there are still concerns that a reliance on videogames to manage difficult situations can be problematic. Through semi-structured interviews (N=28), this study aimed to explore the role of videogames in this context to better understand the motivations behind gameplay, the emotional regulatory effect it has and, in turn, how this influences wellbeing. Key patterns of engagement emerged, suggesting that, during difficult times, individuals actively use videogames to meet important needs and regulate difficult emotions through the use of escapism. Moreover, the findings suggest that, even when gaming during these times appears to be rigid, the activity may still provide players wellbeing benefits.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".