{"id":"W234868170","doi":"10.17705/1thci.00065","title":"Personalityzation: UI Personalization, Theoretical Grounding in HCI and Design Research","year":2015,"lang":"en","type":"article","venue":"AIS Transactions on Human-Computer Interaction","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Science Foundation","keywords":"Personalization; Human–computer interaction; Computer science; Context (archaeology); Recommender system; Personality; User modeling; Metatheory; Usability; User interface; World Wide Web; Psychology; Social psychology","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":[0.01114412,0.0009233011,0.0004786993,0.003971751,0.002602712,0.008518585,0.001330215,0.002452652,0.003173232],"category_scores_gemma":[0.01949402,0.0007925825,0.0007655356,0.003500888,0.01627058,0.009559751,0.003813558,0.003733007,0.0004203428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004777491,"about_ca_system_score_gemma":0.002709049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004243858,"about_ca_topic_score_gemma":0.002213551,"domain_scores_codex":[0.9911858,0.005534261,0.0005120352,0.001158582,0.001226663,0.0003827284],"domain_scores_gemma":[0.9802614,0.01394651,0.001245648,0.002410654,0.001421844,0.0007138881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000549956,0.0001626355,0.01004471,0.0008497323,0.00003910185,0.0002308278,0.0341391,0.001992641,0.001444017,0.8333023,0.001844253,0.1158957],"study_design_scores_gemma":[0.00006150087,0.0003106322,0.02259009,0.002193302,0.00009235122,0.001255889,0.02375991,0.02349039,0.002608171,0.8391957,0.08427756,0.0001645652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1464201,0.02719415,0.671127,0.03449528,0.0007942434,0.0005451134,0.0002037352,0.0004996968,0.1187207],"genre_scores_gemma":[0.8868784,0.00684103,0.1002756,0.00139047,0.0002537095,0.0005012949,0.00008531644,0.00006244421,0.003711774],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01114412,"threshold_uncertainty_score":0.05893648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.252495006318717,"score_gpt":0.4658731095567958,"score_spread":0.2133781032380789,"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."}}