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Record W1965950973 · doi:10.1177/1071181312561072

Investigating the Relation between Cognitive Load and Creativity in the Conceptual Design Process

2012· article· en· W1965950973 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProceedings of the Human Factors and Ergonomics Society Annual Meeting · 2012
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCreativityNoveltyCognitionPsychologyVariety (cybernetics)Quality (philosophy)Relation (database)Process (computing)Cognitive psychologyCognitive loadPerspective (graphical)Conceptual designApplied psychologyComputer scienceSocial psychologyHuman–computer interactionArtificial intelligence

Abstract

fetched live from OpenAlex

Numerous studies have been done to assist designers in generating creative concepts. However, few studies focus on satisfying designers’ cognitive demands. As the first step of addressing this issue, this paper attempts to investigate the relation between cognitive load and creativity in the conceptual design process. A pilot study was conducted with nine participants divided into experienced and novice groups. Cognitive load was evaluated by the intensity of mental effort. Creativity evaluation was based on four measures: novelty, variety, quality, and quantity. The results indicate that mental effort is more related to novelty and quantity, while experience in design has more effect on variety and quality. The relation between mental effort and creativity was investigated from the perspective of cognitive efficiency, which shows that the experienced group has relatively higher scores in cognitive efficiency than the novice group.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.051
GPT teacher head0.278
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it