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Record W1975762228 · doi:10.1145/1512714.1512739

Point and sketch

2008· article· en· W1975762228 on OpenAlexaff
Tomás Dorta, Annemarie Lesage, Edgar Pérez

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSketchConversationIdeationGestureComputer scienceLaser pointerHuman–computer interactionNegotiationPointer (user interface)Collaborative designPoint (geometry)MultimediaPsychologyArtificial intelligenceCognitive scienceSystems designCommunicationSoftware engineering

Abstract

fetched live from OpenAlex

This paper documents a study on collaborative ideation in the Hybrid Ideation Space. Our observations focused on the collaborative nature of conceptual design, as a social process through gestures, graphical and verbal representations, allowing negotiation and decision-making. Two different groups of users participated in this study: a short-term experiment (20 minutes) involving design students working in pairs and a long-term experiment (6 hours) with a team of design practitioners. We have observed that team members participated equally in the reflective conversation while inside immersive sketches, one using the digital pen, the other, the laser pointer.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.395
Threshold uncertainty score0.863

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0060.007
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3950.183

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 head0.018
GPT teacher head0.216
Teacher spread0.197 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations3
Published2008
Admission routes1
Has abstractyes

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