{"id":"W2024353257","doi":"10.1109/ainaw.2007.211","title":"Interface Adaptation Based on User Expectation","year":2007,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; User modeling; Usability; Adaptation (eye); User interface; Human–computer interaction; User interface design; Control (management); Filter (signal processing); Interface (matter); User experience design; Artificial intelligence","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":[0.004948251,0.0006913887,0.0005153497,0.0006679915,0.0004080274,0.00263383,0.0009708581,0.001164095,0.001761803],"category_scores_gemma":[0.04653715,0.0005813324,0.0006480193,0.0004179426,0.001177871,0.003100363,0.0010558,0.001282567,0.0004027946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130786,"about_ca_system_score_gemma":0.0006866614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002496317,"about_ca_topic_score_gemma":0.0009682088,"domain_scores_codex":[0.9949015,0.002671889,0.0002269339,0.0007142913,0.001031248,0.0004541013],"domain_scores_gemma":[0.9655028,0.02527303,0.00255189,0.002466863,0.003451898,0.0007535142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003713594,0.001406992,0.2332044,0.0006074199,0.0005750871,0.00128134,0.01217876,0.3682168,0.06605786,0.09705959,0.002703921,0.2129943],"study_design_scores_gemma":[0.00006302883,0.0009746536,0.04057763,0.00005658926,0.000130507,0.0003625053,0.0008107027,0.9195355,0.007456957,0.02889042,0.0009998305,0.000141708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5756954,0.0001876984,0.4102609,0.0006328105,0.00002527964,0.0001932014,0.0001117275,0.0007784266,0.01211457],"genre_scores_gemma":[0.9939672,0.00002216673,0.005581853,0.00003349417,0.000003174669,0.00005881998,0.00002931348,0.00001567656,0.0002883296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004948251,"threshold_uncertainty_score":0.02616918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3273034774730461,"score_gpt":0.4693049624587353,"score_spread":0.1420014849856892,"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."}}