A Facial-Action Imposter: How Head Tilt Influences Perceptions of Dominance From a Neutral Face
Bibliographic record
Abstract
Research on face perception tends to focus on facial morphology and the activation of facial muscles while ignoring any impact of head position. We raise questions about this approach by demonstrating that head movements can dramatically shift the appearance of the face to shape social judgments without engaging facial musculature. In five studies (total N = 1,517), we found that when eye gaze was directed forward, tilting one’s head downward (compared with a neutral angle) increased perceptions of dominance, and this effect was due to the illusory appearance of lowered and V-shaped eyebrows caused by a downward head tilt. Tilting one’s head downward therefore functions as an action-unit imposter, creating the artificial appearance of a facial action unit that has a strong effect on social perception. Social judgments about faces are therefore driven not only by facial shape and musculature but also by movements in the face’s physical foundation: the head.
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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 | 0.001 | 0.008 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".