Demonstrating Virtual Teamwork with Synchrobots: A Robot-Mediated Approach to Improving Connectedness
Bibliographic record
Abstract
The increased prevalence of online collaborative work, through necessity or preference, is accompanied by measurable drops in satisfaction, creativity and energy, often termed “zoom fatigue.” As loss of physical co-presence and associated nonverbal communication are identified as contributors, we introduce Synchrobots – robots designed to channel human biophysiology for group connectedness. We propose an Interactivity demo wherein two participants perform an online problem-solving task while wearing physiological sensors and holding a Synchrobot as it physically renders a translation of their partner’s heartrate. The setup involves two stations, each with a laptop running Zoom, a set of wearable sensors recording heart rate, respiratory rate, and electrodermal activity, and a Synchrobot. After the problem-solving task, we will invite participants to reflect on how connected they felt with each other as well as their satisfaction with the collaboration quality. Participants may consent to release this data for later inclusion as part of a study.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".