{"id":"W4298112256","doi":"10.1109/ro-man53752.2022.9900645","title":"Evaluation of Expressive Motions based on the Framework of Laban Effort Features for Social Attributes of Robots","year":2022,"lang":"en","type":"article","venue":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Competence (human resources); Human–computer interaction; Social robot; Computer science; Kinematics; Artificial intelligence; Simulation; Mobile robot; Psychology; Robot control; Social psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001041703,0.0001935015,0.0003260175,0.000307072,0.0005437946,0.00004106204,0.0008068034,0.0001003465,0.006170711],"category_scores_gemma":[0.0003835306,0.0001821381,0.0002244656,0.0001582754,0.0002771631,0.0001180189,0.0001535142,0.0006530337,0.000004737984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180733,"about_ca_system_score_gemma":0.0001048328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002567613,"about_ca_topic_score_gemma":0.0001198903,"domain_scores_codex":[0.9972874,0.000870836,0.0005749741,0.0002907636,0.0008298748,0.0001461362],"domain_scores_gemma":[0.9951614,0.001415344,0.001065552,0.0005050545,0.001819356,0.00003334414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00110803,0.001815382,0.0009418889,0.00002325771,0.000782809,4.049473e-7,0.01371088,0.006321194,0.007877003,0.9475852,0.0168796,0.002954366],"study_design_scores_gemma":[0.0155387,0.007356963,0.4090638,0.002364033,0.001925261,0.00002191363,0.1366955,0.07820143,0.03653793,0.3001187,0.009821652,0.002354141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7865341,0.0003561037,0.01317764,0.03068507,0.005532591,0.004858947,0.002486939,0.0001690403,0.1561995],"genre_scores_gemma":[0.9973516,0.0000137226,0.000207507,0.0004638319,0.00008917972,0.0008633661,0.0003367587,0.00002724788,0.0006467731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6474665,"threshold_uncertainty_score":0.9947378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2140982457836818,"score_gpt":0.4564894388059117,"score_spread":0.2423911930222299,"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."}}