Coordinating conversation through posture
Bibliographic record
Abstract
Conversation is dynamic and interactive.The importance of coordinated movement in conversation has been studied through perceptual measures of synchrony and recently through quantitative analyses of multi-dimensional motion data.The present study describes the postural system as being integrated with the communication process through an analysis of interlocutors' coordination of rigid-body head motion, postural shifts on forceplates, and motion computed from audio-visual recordings.Coordination is measured two ways: 1) holistically, as the scaling of speakers' motion over the duration of a conversation (i.e., the presence of movement encourages more movements) and 2) through analyses of the instantaneous correlation between motion signals from each speaker (i.e., a search for similar patterns of movement across time).These two approaches are evaluated in their ability to categorize conversation types.Preliminary results show that a stability emerges in the amount of correlation across conversations.Variations in the pattern of stability are analyzed as evidence of differences between general interactional coordination and linguistic coordination.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".