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Record W2016110579 · doi:10.1145/1180875.1180936

An exploratory analysis of partner action and camera control in a video-mediated collaborative task

2006· article· en· W2016110579 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicUsability and User Interface Design
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsZoomTask (project management)Computer scienceAction (physics)Computer visionArtificial intelligenceMotion (physics)Movement (music)Human–computer interactionVideo cameraControl (management)MultimediaEngineering

Abstract

fetched live from OpenAlex

This paper reports on an exploratory experimental study of the relationships between physical movement and desired visual information in the performance of video-mediated collaborative tasks in the real world by geographically distributed groups. Twenty-three pairs of participants (one "helper" and one "worker") linked only by video and audio participated in a Lego construction task in one of three experimental conditions: a fixed scene camera, a helper-controlled pan-tilt-zoom camera, and a dedicated operator-controlled camera. "Worker" motion was tracked in 3-D space for all three conditions, as were all camera movements. Results suggest performance benefits for the operator-controlled condition, and the relationships between camera position/movement and worker action are explored to generate preliminary theoretical and design implications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.274
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations41
Published2006
Admission routes1
Has abstractyes

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