From theory to practice: a roadmap for applying dual-process theory in design cognition research
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.
Bibliographic record
Abstract
Dual-process theory categorises cognition into two types of processing: Type 1 which is intuitive, autonomous processing, and Type 2 which is reflective processing that burdens limited executive cognitive resources (i.e.working memory).A recent call for increased theory-driven research in the field of design has led to a framing of dual-process theory as a foundation for design research.This research note presents a roadmap for future dual-process theorydriven design research outlining three main stages: defining dualprocess theory constructs, determining research focus, and selecting research methods.Across these stages, we offer a conceptualisation of dual-process theory for design researchers, outlining the main concepts of the theory.We then present how a research study design must consider the nature of design problems (complex, illstructured, ambiguous), designers, and the practice of design.Finally, we outline the main methods employed in dual-process theory research: behavioural, physiological, and self-report measures, suggesting ways to adapt such methods to design contexts.Ultimately, this work presents how dual-process theory may connect with theories of cognition often considered in design and offers a path forward for dual-process theory-driven design research.
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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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it