The Role of 3D Printed Objects Facilitating the Process of Mutual Communication and Collective Idea Generation Between Non-designers and Designers
Bibliographic record
Abstract
Despite the remarkable technological improvements in 3D printing technology, there are diverse challenges that small scientific laboratories encounter when using such equipment to develop customized lab equipment. A major challenge is successfully transferring and incorporating the scientists' ideas during the design process due to their limited experience in design practices. This paper explores the role of 3D printers in the ideation process of design specifically in the context of Co-design environments with scientists. It is argued that 3D printed objects can support ideation by allowing enhanced engagement between participants, helping uncover important insights and increasing the team's idea generation process while enhancing the clarity of communicating these design ideas. A workshop was conducted to test this hypothesis at the University of Ottawa Laboratory of Cellular and Molecular Medicine with to demonstrate that the 3D printer could support non-designers in the ideation process by enabling different domain-specific types of interactions
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".