{"id":"W2068430076","doi":"10.1007/s12369-010-0071-x","title":"Communication of Emotion in Social Robots through Simple Head and Arm Movements","year":2010,"lang":"en","type":"article","venue":"International Journal of Social Robotics","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; University of Canterbury; University of Toronto; Institute of Museum and Library Services","keywords":"Gesture; Psychology; Cognitive psychology; Perception; Movement (music); Context (archaeology); Animation; Social cue; Human–robot interaction; Social robot; Robot; Computer science; Artificial intelligence; Communication; Human–computer interaction; Robot control; Mobile robot","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002033304,0.0003238703,0.0001855367,0.00009604836,0.0002380119,0.0004887662,0.000258337,0.0003857031,0.00375332],"category_scores_gemma":[0.001854757,0.0001419248,0.0001936108,0.00008257098,0.0004718479,0.0005697493,0.0007076171,0.0002751834,0.0004692947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337624,"about_ca_system_score_gemma":0.0001057826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002908358,"about_ca_topic_score_gemma":0.000306717,"domain_scores_codex":[0.9997801,0.0001036537,0.000007424396,0.00004182606,0.00003803352,0.00002897596],"domain_scores_gemma":[0.9995705,0.0002320031,0.00007776863,0.00004980155,0.0000366775,0.00003311296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001330728,0.0002493316,0.01351862,0.0003871867,0.0001256455,0.0006528171,0.003505614,0.01957086,0.8164746,0.00848003,0.003460268,0.1322443],"study_design_scores_gemma":[0.0004457053,0.003112828,0.4005328,0.0002154558,0.0004218927,0.001862813,0.00474969,0.3483753,0.1552762,0.06197009,0.02272928,0.0003079709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8417704,0.0003226043,0.1305622,0.0004695957,0.0001526509,0.0001292445,0.0002107457,0.0006538209,0.0257288],"genre_scores_gemma":[0.9899089,0.00005879531,0.007852507,0.00008137619,0.00002208675,0.00004911192,0.00003378894,0.00003508499,0.001958436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00375332,"threshold_uncertainty_score":0.01255614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05553490254624176,"score_gpt":0.4293263667869128,"score_spread":0.3737914642406711,"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."}}