{"id":"W2021864022","doi":"10.1016/j.chb.2009.11.008","title":"Neurophysiological correlates in interface design: An HCI perspective","year":2009,"lang":"en","type":"article","venue":"Computers in Human Behavior","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Perspective (graphical); Psychology; Interface (matter); Neurophysiology; Human–computer interaction; Cognitive psychology; Computer science; Cognitive science; Neuroscience; 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":[0.001050752,0.0005364405,0.0004285848,0.002309656,0.000422746,0.00305682,0.0006517507,0.001506957,0.005494392],"category_scores_gemma":[0.01170275,0.0003983184,0.0002494313,0.002232961,0.001650295,0.002467951,0.000978936,0.00104517,0.000483103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004863314,"about_ca_system_score_gemma":0.0005636039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396513,"about_ca_topic_score_gemma":0.001156071,"domain_scores_codex":[0.9995022,0.0001450996,0.00004752805,0.00009939128,0.0001462927,0.00005940491],"domain_scores_gemma":[0.9963297,0.002421469,0.0004366871,0.000203397,0.0004142412,0.0001943688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001288879,0.002003161,0.09309134,0.002561906,0.0003519669,0.002651318,0.004932476,0.00791117,0.264534,0.1066132,0.005185564,0.508875],"study_design_scores_gemma":[0.0002091895,0.000956356,0.7830936,0.000412239,0.0002198576,0.003285966,0.002600706,0.009898346,0.01332829,0.1785054,0.00735851,0.0001315688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.768819,0.02182448,0.1138263,0.005789704,0.0004797398,0.0003595428,0.001019257,0.0005942292,0.0872878],"genre_scores_gemma":[0.9825342,0.002724206,0.01173089,0.0004372713,0.0002839003,0.000117268,0.00008913559,0.00006392209,0.002019124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005494392,"threshold_uncertainty_score":0.01838052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08846855400560373,"score_gpt":0.4212951210885743,"score_spread":0.3328265670829705,"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."}}