{"id":"W2610722457","doi":"10.1145/3025453.3025908","title":"Designing Cultural Values into Interaction","year":2017,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Interdependence; Interaction design; Cultural heritage; Computer science; Narrative; Process (computing); Human–computer interaction; Value (mathematics); Table (database); Design process; User experience design; Knowledge management; Sociology; Engineering; Work in process","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":[0.0001712739,0.00009365055,0.00008278356,0.0001114906,0.0007354223,0.0005958434,0.001016001,0.00006358105,0.00004579855],"category_scores_gemma":[0.0001852743,0.00007649091,0.00003192957,0.00006481941,0.00009466175,0.003507128,0.0003412239,0.0002090096,0.0003419034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008869605,"about_ca_system_score_gemma":0.00001248831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001058697,"about_ca_topic_score_gemma":0.00002444396,"domain_scores_codex":[0.9993231,0.00002666319,0.0001418617,0.0002534454,0.0001094007,0.0001455727],"domain_scores_gemma":[0.998915,0.00002977464,0.0001845446,0.0006531595,0.0001997008,0.00001780274],"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":[0.00001404679,0.00006533899,0.002851584,0.00000951054,0.00006084285,0.00002670158,0.003610059,0.00001396208,0.2705194,0.5696604,0.01240885,0.1407593],"study_design_scores_gemma":[0.0003367929,0.000161264,0.009165014,0.00005698634,0.000005591081,0.00009169722,0.0008341611,0.02324216,0.8976749,0.06047931,0.007598519,0.0003536181],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1464831,0.000005423331,0.805895,0.002716698,0.001482268,0.0000801174,5.0579e-8,0.0004399876,0.0428973],"genre_scores_gemma":[0.8902955,0.00000153895,0.1079712,0.0001879169,0.00007174103,0.000009812673,6.426954e-7,0.000003843512,0.001457871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7438124,"threshold_uncertainty_score":0.5745732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05562931451469383,"score_gpt":0.3645962875671805,"score_spread":0.3089669730524867,"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."}}