{"id":"W4412489207","doi":"10.1080/00140139.2025.2511869","title":"Empowering non-designers with tangible tools for divergent thinking","year":2025,"lang":"en","type":"article","venue":"Ergonomics","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Opmedic Group (Canada); École de Technologie Supérieure; Canadian Institute for International Peace and Security","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Affordance; Literal and figurative language; Design thinking; Process (computing); Perspective (graphical); Divergent thinking; Human–computer interaction; Cognition; Interface (matter); Thinking processes; Interface design; Psychology; Creativity; Computer science; Engineering; Mathematics education; Social psychology; Artificial intelligence; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01459294,0.001127533,0.0005377972,0.001275714,0.001647245,0.006903616,0.001429589,0.001348243,0.007041786],"category_scores_gemma":[0.05065483,0.0005724863,0.0009082815,0.0005940481,0.003175121,0.004183463,0.008479529,0.001862696,0.002024466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000532941,"about_ca_system_score_gemma":0.001871051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001415951,"about_ca_topic_score_gemma":0.0002682045,"domain_scores_codex":[0.9835237,0.01212686,0.0007488373,0.0008528172,0.002069382,0.0006784978],"domain_scores_gemma":[0.944272,0.04017776,0.004089927,0.006954402,0.002384763,0.002121224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008421189,0.001362137,0.03251364,0.002218154,0.00009696215,0.003034041,0.357668,0.001359655,0.08387257,0.03269349,0.004397997,0.4799412],"study_design_scores_gemma":[0.001082839,0.005121129,0.04038231,0.003386687,0.0004315134,0.01537182,0.2545099,0.01149017,0.06351866,0.1228976,0.4812793,0.0005280455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7268362,0.00127709,0.2227017,0.002147792,0.0002193547,0.0004985802,0.00004535122,0.0008171559,0.04545674],"genre_scores_gemma":[0.8876492,0.0005055688,0.1012765,0.0004472389,0.0000453403,0.0006452478,0.00006077906,0.0001232534,0.009246941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01459294,"threshold_uncertainty_score":0.07717574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567383716498581,"score_gpt":0.3677036958385947,"score_spread":0.3320298586736089,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}