Physical Mechanisms of Emotions Evoked by Postural Feedback
Bibliographic record
Abstract
Adopting physical expressions of emotion has been shown to have feedback effects on individuals' mood and behavior. For example, adopting the expansive and contractive body language of dominance and submission can affect individuals' feelings of power. However, the effects can be subtle and variable; we suggest that this may be due to inter-individual variability in the physical expression of the experimental posture, including both the magnitude of the posture adopted and the specific muscles used to adopt it. Here, we employed a postural feedback (i.e., "power posing") paradigm and recorded quantitative measures of body position algorithmically derived from video recordings (N = 101). We demonstrate for the first time that variation in neck flexion mediates the effects of posture on mood. We also investigated several other variables which, based on previous work, could additionally mediate or moderate the postural feedback effects, finding that subjective difficulty also mediates posture effects independently of neck flexion, with effects moderated by body awareness. Finally, we investigated the muscular processes underlying neck flexion in the posture using electromyography, demonstrating that the neck flexion which mediates mood effects is associated with sternocleidomastoid muscle activity. The present work carries implications for our understanding of the adaptive benefits of expansive and contractive postures, and provides important methodological insights into the paradigms typically used for research on postural feedback.
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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) | 0.001 | 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".