Changes in heart rate and skin conductance provoked by emotional arousal during initial and secondary exposure to stimuli
Bibliographic record
Abstract
Human emotion is a complex, conscious experience that produces involuntary changes in our physiology. This biological response to emotional arousal can be detected by monitoring changes in heart rate and skin conductance. Heart rate variability and skin conductance are expected to increase during emotional arousal. 11 respondents, aged 20-23, were shown seven video stimuli. As they watched the videos, their heart rate and skin conductance were monitored using Shimmer3 kit biosensors to quantify emotional arousal. The data was saved to the iMotions biometric research platform. The respondents returned 12-16 days after the initial exposure to re-watch the video stimuli. Their heart rate and skin conductance were recorded again at this time. There was a lot of variation in the physiological responses across viewings for all respondents, meaning there was a change in emotional arousal from the first to the second time they were exposed to the stimuli. Monitoring emotional arousal potentially holds value in police services; particularly in suspect, victim, and eye-witness interviews. Expanding on this research may reveal the significance emotional arousal has on criminal behaviour.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".