Nonverbal Leadership in Joint Full-Body Improvisation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this work, we investigate nonverbal leadership and address two research questions: 1) is it possible to perceive leadership from nonverbal cues in an unstructured joint full-body activity with no designated leader? 2) what are its nonverbal indicators? To address these questions, we propose eight cues of nonverbal leadership and conduct a two-step validation study on a novel dataset (video, MoCap) of dance improvisation. To explore various leadership strategies, we introduce constraints on how dancers communicate by manipulating their shared sensory channels. In the first stage, 27 persons carried out continuous annotation of leadership in the recorded videos; in the second stage, 92 persons watched 25 short segments indicating who the leader was and reported perceived leadership cues. The results indicate 1) a high consensus among observers regarding nonverbal leadership, but only for certain video segments, and 2) that five leadership cues were frequently observed in our dataset. In the final part, we explore the feasibility of automatically detecting nonverbal leadership using hand-crafted cues and standard machine learning techniques.
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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 | 0.001 |
| 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 it