Seeing the Way: the Role of Vision in Conversation Turn Exchange Perception
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
During conversations, we engage in turn-taking behaviour that proceeds back and forth effortlessly as we communicate. In any given day, we participate in numerous face-to-face interactions that contain social cues from our partner and we interpret these cues to rapidly identify whether it is appropriate to speak. Although the benefit provided by visual cues has been well established in several areas of communication, the use of visual information to make turn-taking decisions during conversation is unclear. Here we conducted two experiments to investigate the role of visual information in identifying conversational turn exchanges. We presented clips containing single utterances spoken by single individuals engaged in a natural conversation with another. These utterances were from either right before a turn exchange (i.e., when the current talker would finish and the other would begin) or were utterances where the same talker would continue speaking. In Experiment 1, participants were presented audiovisual, auditory-only and visual-only versions of our stimuli and identified whether a turn exchange would occur or not. We demonstrated that although participants could identify turn exchanges with unimodal information alone, they performed best in the audiovisual modality. In Experiment 2, we presented participants audiovisual turn exchanges where the talker, the listener or both were visible. We showed that participants suffered a cost at identifying turns exchanges when visual cues from the listener were not available. Overall, we demonstrate that although auditory information is sufficient for successful conversation, visual information plays an important role in the overall efficiency of communication.
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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 | 0.002 | 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 | 0.001 | 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 it