The Concept Plot: A Concept Mapping Visualization Tool for Asynchronous Web-Based Brainstorming Sessions
Bibliographic record
Abstract
Electronic brainstorming systems have been shown to lead to more ideas, yet unsupported face-to-face brainstorming is still widely preferred. This paper proposes a graphical user interface for a web-based system for design problem-solving or other intellective tasks involving convergent and divergent thinking. Referring to the literature on group support systems and information and knowledge visualization, the study extends features of concept mapping and synthesizes these into a prototype called the Concept Plot (CP). Based on an advertising design task, the paper shows how the CP can be collaboratively constructed in two directions, as text and pictures are uploaded onto nodes, and these nodes scaled up or down as users click to evaluate ideas. The expectation is that this integrated visualization would diminish information overload, while enhancing the social dynamics of the process. Also presented is the pilot deployment of a Flash prototype. The results were inconclusive, yet promising that a study with more participants might demonstrate the functional and affective benefits of the CP.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.003 |
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".