Bibliographic record
Abstract
Contradictory results of a recent design stimulation and creativity experiment prompted us to re-examine our chosen methodological approach, namely the use of verbal protocols. We used verbal protocols to study design cognition associated with stimulus use. Our results showed that use of stimuli did not increase concept creativity, contradicting much of the design literature. After eliminating other possible errors, we re-examined the experimental methodology to identify potential design-specific limitations associated with verbal protocols. Many researchers have used verbal protocol experiments, also known as talk-out-loud experiments, to study cognitive processes, as there are few other methods to study internal cognition. While verbal protocols are a widely debated method, research has been done to validate them, and precautions can be taken to mitigate associated risks. Based on reviewing the literature and our own experiences, we have developed design-specific guidelines for the use of verbal protocols. We also outline future work required to explore and understand the suitability of verbal protocols for design studies. Despite potential limitations, verbal protocols remain a valuable and practical tool for studying design cognition and therefore should not be discarded.
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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 | 0.561 | 0.775 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.011 | 0.008 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".