{"id":"W4211072278","doi":"10.2200/s00605ed1v01y201410icr038","title":"Measuring User Engagement","year":2014,"lang":"en","type":"article","venue":"Synthesis lectures on information concepts, retrieval, and services","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"User engagement; User experience design; Human–computer interaction; Computer science; Quality (philosophy); Psychology; World Wide Web; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00332784,0.0004907673,0.0005107321,0.002573755,0.0007539205,0.002236244,0.0004118534,0.000730777,0.01551007],"category_scores_gemma":[0.02346489,0.0001965504,0.0005975771,0.002544525,0.00036171,0.001883896,0.00195241,0.0008227214,0.00670634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005433456,"about_ca_system_score_gemma":0.0004101643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000712685,"about_ca_topic_score_gemma":0.001371546,"domain_scores_codex":[0.9929695,0.003264877,0.0004269946,0.0005730105,0.002316394,0.0004492784],"domain_scores_gemma":[0.9806004,0.01097105,0.001635863,0.001574295,0.003907979,0.001310371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001060858,0.0009833926,0.503198,0.0008306246,0.00034104,0.0001029709,0.008371944,0.001128831,0.01095855,0.005571726,0.01206167,0.4553904],"study_design_scores_gemma":[0.00006712158,0.002446211,0.9126717,0.0003947754,0.0002534669,0.0005229601,0.01202522,0.00910632,0.01282973,0.007779464,0.04175512,0.0001478961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8401082,0.001494863,0.042206,0.0006599759,0.0002215582,0.0007574833,0.00519984,0.0009039509,0.1084483],"genre_scores_gemma":[0.9749199,0.0003805537,0.008921169,0.0001537018,0.00006904901,0.0009771821,0.002391179,0.00007600883,0.0121113],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01551007,"threshold_uncertainty_score":0.05188638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878433985862542,"score_gpt":0.2523850075614576,"score_spread":0.2336006677028322,"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."}}