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Collaboration and Design Education Through the Interconnected HIS: Immature vs. Mature CI Loops Observed Through Ethnography by Telepresence

2012· article· en· W4300643751 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

VenueeCAADe proceedings · 2012
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsStudioConversationComputer scienceIdeationDesign studioConceptual designProcess (computing)EthnographySet (abstract data type)Engineering design processCreativityHuman–computer interactionDesign processMultimediaSociologyPsychologyEngineeringWork in process

Abstract

fetched live from OpenAlex

This paper documents the very first use of the interconnected HIS in a pedagogical setting. For this Augmented Design Studio, where three interconnected HIS were set up, the aim was to foster collaboration and co-design between the project participants as a new approach to teach the virtual design studio and to study the collaborative ideation process. The HIS (Hybrid Ideation Space) is an immersive system that uses freehand sketches and models to exteriorize conceptual ideas. Two innovative research methods have been used to assess this studio: the Collaborative Conversation framework that analyses the design discourse and the Ethnography by Telepresence, a non-intrusive observation method through an unused HIS. The Augmented Design Studio has been observed to help the design students push their project from abstract concepts to formalised concepts because in a pedagogical setting, it fosters collaboration over traditional top-down teacher-student interactions.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score0.814

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.270
Teacher spread0.240 · 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