Developing design concepts in a cloud computing environment: creative interactions and brainstorming modalities
Bibliographic record
Abstract
This article presents the key components required to properly understand remote creative interactions associated with three collective design stages: co-definition; the ideas co-production; and the co-evaluation in the formulation of a design concept. We compare five brainstorming modalities: traditional brainstorming—graphical interaction, reverse brainstorming, brainwriting and brainsketching—adopted by six delocalised teams working through a cloud computing environment. We analyse: co-authoring production; the ratio of ideas production according to task-goal; and the variation of brainstorming modalities. Our results show that designers work on brainstorming modalities according to the task-goal assigned, and we see that task content and the verbal and graphical communicative modes are supported by the proposed computational environment; as well as all brainstorming modalities. Because co-authoring or collective sketching are hardly possible without verbal communication support in graphical production, we propose the use of these new cloud computing functionalities to enhance the distributed design work.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".