{"id":"W4398236206","doi":"10.1145/3659110","title":"A Human-Centered View of Continual Learning: Understanding Interactions, Teaching Patterns, and Perceptions of Human Users Toward a Continual Learning Robot in Repeated Interactions","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Human-Robot Interaction","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Perception; Human–computer interaction; Robot; Human–robot interaction; Psychology; Computer science; Knowledge management; Cognitive science; Artificial intelligence; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007369508,0.000606067,0.0009253219,0.002056692,0.0009719215,0.0002769298,0.0003712155,0.0003098269,0.006363587],"category_scores_gemma":[0.0001733335,0.0006875644,0.0005785933,0.0005827361,0.0002589466,0.001230464,0.00004856254,0.003730393,0.00009785952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009418673,"about_ca_system_score_gemma":0.00004667727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004334403,"about_ca_topic_score_gemma":0.004004978,"domain_scores_codex":[0.9949303,0.001172343,0.001854927,0.001030006,0.0004264935,0.0005859806],"domain_scores_gemma":[0.9973411,0.0009726014,0.0007221738,0.0005731148,0.0002130504,0.000177948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.002103165,0.007695108,0.04004199,0.001687832,0.005046573,0.0002216071,0.2169775,0.01131394,0.5925381,0.02439141,0.002089521,0.09589328],"study_design_scores_gemma":[0.01196055,0.007576187,0.1222056,0.01914594,0.002367184,0.001220177,0.7905934,0.004342549,0.01146233,0.002632417,0.02238551,0.004108169],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271417,0.0001399349,0.06110022,0.0008170669,0.003513563,0.0008814003,0.00005731904,0.0005906196,0.005758195],"genre_scores_gemma":[0.9928522,0.0001023207,0.0002048817,0.00007138938,0.0002020807,0.000192295,0.0001674235,0.000136112,0.006071272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5810757,"threshold_uncertainty_score":0.9995576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.162041707254007,"score_gpt":0.4435019285726903,"score_spread":0.2814602213186833,"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."}}