VideoArms: Supporting Remote Embodiment in Groupware
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
Shared visual workspaces afford collaboration by providing a medium that grounds workspace activity, conversation, and gestures. If distributed groupware systems designed as shared visual workspaces are to replace or augment the physical workspaces of today, they need to naturally support these affordances. VideoArms is an embodiment technique for distributed groupware that captures body images of collaborators as they work, and transmits them to remote workspaces. These body images are then placed in the context of the workspace, thereby supporting the transmission of conversational gestures, collaborator identity, workspace activity and complex workspace gestures. The technique uses a purely digital approach, allowing for the possibility of different presentation techniques (e.g. colour video, shadows, transparent video, outlines, etc.). <br><br>Duration of video: 5 minutes, 8 seconds
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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