{"id":"W1972524317","doi":"10.1145/2557500.2557524","title":"Towards facilitating user skill acquisition","year":2014,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Human–computer interaction; Visualization; Dreyfus model of skill acquisition; Set (abstract data type); Process (computing); Gaze; Eye tracking; Usability; Learning curve; Key (lock); Multimedia; 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":[0.003487359,0.001218027,0.0006478065,0.0009263658,0.0004957008,0.00212725,0.001025041,0.001538625,0.003913379],"category_scores_gemma":[0.03381597,0.0005149796,0.0004895306,0.0004841554,0.0006833688,0.004004378,0.002504769,0.002038284,0.001642336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006280204,"about_ca_system_score_gemma":0.001732331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003966889,"about_ca_topic_score_gemma":0.00346861,"domain_scores_codex":[0.9978045,0.001024227,0.00008662925,0.0003986882,0.0004779395,0.0002081368],"domain_scores_gemma":[0.9758173,0.01681787,0.001186506,0.002564518,0.002880477,0.0007332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008167642,0.002865331,0.104023,0.001647503,0.0001222441,0.0003846369,0.01082327,0.05387416,0.06544744,0.01161313,0.01053197,0.7378507],"study_design_scores_gemma":[0.0001585109,0.003019982,0.09141202,0.0007284356,0.0001670012,0.0007510335,0.003969051,0.7287002,0.090601,0.04389058,0.03636158,0.0002406345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5660075,0.0009290974,0.4042615,0.003016674,0.00004067175,0.0005504318,0.0004959405,0.007869983,0.01682825],"genre_scores_gemma":[0.8974955,0.0004790827,0.09897691,0.0002745893,0.00001795566,0.0003076094,0.0002993447,0.0001540142,0.00199497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003966889,"threshold_uncertainty_score":0.01844317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682427665750862,"score_gpt":0.2932972091584391,"score_spread":0.2764729325009305,"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."}}