{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002249704,0.0001376047,0.0001534497,0.0005818786,0.0009642608,0.000289353,0.0002127043,0.0002060296,0.0002978547],"category_scores_gemma":[0.0001049474,0.0001498632,0.00004688145,0.0005994545,0.0006638468,0.0007364813,0.000009172995,0.0006347692,0.00006012778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007140656,"about_ca_system_score_gemma":0.0001098951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008332587,"about_ca_topic_score_gemma":0.0005161667,"domain_scores_codex":[0.9973608,0.0009922783,0.0002587986,0.0003687074,0.0006340786,0.0003853008],"domain_scores_gemma":[0.9990143,0.0003037723,0.00005917062,0.0001698277,0.0002891287,0.0001638638],"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":[0.00103949,0.00311637,0.011058,0.0001144922,0.0002404788,0.00008631034,0.2087826,0.003512001,0.0005545988,0.5791331,0.01329948,0.1790631],"study_design_scores_gemma":[0.02195729,0.008703928,0.09618106,0.003974532,0.000376981,0.0004512157,0.2871351,0.1845728,0.007460815,0.3267198,0.05687716,0.005589352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1396908,0.00003518385,0.8486409,0.005011376,0.0009984409,0.000650059,0.000002500906,0.0002645066,0.004706165],"genre_scores_gemma":[0.9971321,0.00002800673,0.001865294,0.000217879,0.0002416534,0.00003307528,0.000004440848,0.00001850938,0.0004590435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8574412,"threshold_uncertainty_score":0.7416412,"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."}}