{"id":"W2081699596","doi":"10.1115/detc2009-87639","title":"An Human-Robot Interaction Control Architecture for an Intelligent Assistive Robot","year":2009,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robot; Computer science; Human–computer interaction; Pace; Health care; Architecture; Control (management); Quality (philosophy); Task (project management); Social robot; Artificial intelligence; Mobile robot; Robot control; Engineering; Systems 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":[0.000555408,0.0006131317,0.0002921642,0.0002344204,0.0005742068,0.0006725489,0.001115108,0.0006996734,0.003345491],"category_scores_gemma":[0.0006972854,0.0002143383,0.0003249553,0.0001089461,0.0005264891,0.0004653315,0.0005533485,0.0006463173,0.0007834765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004396927,"about_ca_system_score_gemma":0.000759828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003855175,"about_ca_topic_score_gemma":0.00371849,"domain_scores_codex":[0.9996837,0.00004758526,0.00002140994,0.0001194685,0.00008276768,0.00004489422],"domain_scores_gemma":[0.9997615,0.00005621518,0.00003033516,0.00002609593,0.0001004162,0.00002527137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006104939,0.0004519487,0.002323744,0.0004662711,0.0001490339,0.00075567,0.001063468,0.3337428,0.1846018,0.02038155,0.006330105,0.4491231],"study_design_scores_gemma":[0.0000723902,0.0005028797,0.001363301,0.00003735362,0.0000716982,0.0002639302,0.00005916871,0.9559602,0.02659023,0.003916153,0.01112208,0.00004065787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01718134,0.0001541873,0.974775,0.0001820954,0.00008922781,0.0001628721,0.0000270454,0.002110506,0.005317752],"genre_scores_gemma":[0.7911115,0.0001622088,0.1985648,0.0002750407,0.00007245936,0.0005062661,0.00007335168,0.00005678523,0.00917767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003855175,"threshold_uncertainty_score":0.01119179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05821956900158581,"score_gpt":0.3474912704989184,"score_spread":0.2892717014973326,"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."}}