{"id":"W2026305448","doi":"10.1109/fuzz-ieee.2012.6251313","title":"A qualitative evaluation criterion for human-robot interaction system in achieving collective tasks","year":2012,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robot; Computer science; Fuzzy logic; Human–computer interaction; Human–robot interaction; Automation; Task (project management); Artificial intelligence; Task analysis; Knowledge base; Engineering","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":[0.00514844,0.0008147322,0.0004982587,0.00206693,0.0007305096,0.00187269,0.000754872,0.0008764443,0.00207624],"category_scores_gemma":[0.01722592,0.0001570312,0.000531533,0.0007905444,0.001414486,0.001942564,0.001076235,0.0003933993,0.0003280903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002550743,"about_ca_system_score_gemma":0.001001103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003192673,"about_ca_topic_score_gemma":0.001538361,"domain_scores_codex":[0.9954164,0.001593402,0.0003429002,0.0004745501,0.001844083,0.0003286053],"domain_scores_gemma":[0.9883576,0.005477128,0.00146051,0.0005516349,0.003496832,0.0006563117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.001413541,0.0005295115,0.04115251,0.001293642,0.00041927,0.0006650049,0.005214557,0.5278828,0.07322457,0.1612141,0.004187867,0.1828026],"study_design_scores_gemma":[0.00003115037,0.001342265,0.01722413,0.0001263462,0.00008457913,0.000236798,0.002104505,0.9326964,0.01032197,0.03315121,0.00256505,0.000115636],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2770604,0.0005246287,0.7039066,0.0003870231,0.00005934579,0.0003786108,0.0002522645,0.0004197269,0.01701148],"genre_scores_gemma":[0.9669581,0.00006767884,0.03170158,0.00001847003,0.00001181307,0.0001730704,0.0000956203,0.00001806216,0.0009556651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00514844,"threshold_uncertainty_score":0.02722788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2396459984465314,"score_gpt":0.5623415808577311,"score_spread":0.3226955824111997,"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."}}