{"id":"W4387845894","doi":"10.1177/21695067231193663","title":"Looking at Participant Engagement for Product Design Through a Critical Lens","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"","keywords":"Variety (cybernetics); Process (computing); Product (mathematics); Data collection; Computer science; Knowledge management; Process management; Focus (optics); New product development; Product design; Business; Marketing; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001186523,0.000188494,0.0002352686,0.00004530982,0.001208965,0.0001131926,0.0005471017,0.00008702894,0.000001475048],"category_scores_gemma":[0.0005421801,0.0001472993,0.0001521989,0.0002726785,0.0002592736,0.0007796377,0.0008916513,0.0002562045,0.000001717837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001261787,"about_ca_system_score_gemma":0.00002143873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009433748,"about_ca_topic_score_gemma":0.000001187518,"domain_scores_codex":[0.9985769,0.00001543502,0.0003765393,0.0004511504,0.0001424846,0.0004374929],"domain_scores_gemma":[0.9989188,0.0003075531,0.0002743334,0.0001421568,0.0003321432,0.00002502235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009282976,0.0001690845,0.01472103,0.0007088969,0.0003843727,3.952239e-7,0.1623853,0.0002541975,0.3872354,0.4143136,0.01937652,0.0003584361],"study_design_scores_gemma":[0.000725925,0.000447869,0.01238546,0.0004114895,0.0001307779,0.000008628808,0.02431832,0.01589125,0.903234,0.03733167,0.004350265,0.0007643617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945847,0.00003129425,0.003267118,0.001070732,0.0003088996,0.0004202228,0.000008139922,0.0001988657,0.0001100352],"genre_scores_gemma":[0.9830257,0.00001738989,0.01657633,0.0001274272,0.00009219832,0.00004299056,0.000001295449,0.00001896224,0.00009768942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5159986,"threshold_uncertainty_score":0.9298502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1217717553133208,"score_gpt":0.3263034277470717,"score_spread":0.2045316724337509,"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."}}