Is it painful? Playing violent video games affects brain responses to painful pictures: An event-related potential study.
Bibliographic record
Abstract
Previous research showed mixed evidence on how violent video game exposure (VVGE) may affect empathy for pain in the brain. This study applied an event-related potential (ERPs) approach to improve understanding of how habitual and short-term violent game play may affect top-down and bottom-up empathy for pain brain responses. A total of 58 male participants with different levels of habitual VVGE performed a pain judgment task before and after 40 min of violent game play while their brain responses were recorded. Results showed that only late cognitive-evaluative ERP responses (P3, P625) were sensitive to the pictures’ painfulness, which were also affected by both habitual VVGE and short- term violent game play. As expected, participants with no habitual VVGE showed an ERP pain effect before game play: higher P3 and P625 amplitudes for painful versus nonpainful pictures. In contrast, a similar ERP pain effect was not observed in participants with high VVGE before game play, suggesting habitual desensitization. Short-term violent game play resulted in lower P3 and P625 amplitudes for painful pictures in the no VVGE group, indicating short-term desensitization. We discuss the observed VVGE desensitization effects in terms of top-down regulation of an empathetic response induced by painful stimuli. Though such adaptation could be beneficial in a violent game environment, possible long-term consequences associated with reduced empathic responsiveness in a social context should be further studied. In all, our findings contribute to the debate on the effects of VVGE on the brain by pro- viding first ERP evidence suggesting empathy for pain desensitization.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.005 | 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".