{"id":"W2015965716","doi":"10.5898/jhri.2.3.rousseau","title":"Sorry to Interrupt, But May I Have Your Attention? Preliminary Design and Evaluation of Autonomous Engagement in HRI","year":2013,"lang":"en","type":"article","venue":"Journal of Human-Robot Interaction","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Human–computer interaction; Gesture; Computer science; Interrupt; Interaction design; Modalities; Human–robot interaction; Robot; Artificial intelligence","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":[0.00607489,0.0005423744,0.0004236585,0.0003603206,0.0005426888,0.001296821,0.001280408,0.0006331097,0.00423731],"category_scores_gemma":[0.02253144,0.0004047254,0.000280696,0.0001737292,0.001189566,0.001140267,0.001138844,0.0006779776,0.0006311577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006754456,"about_ca_system_score_gemma":0.0007635786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006605327,"about_ca_topic_score_gemma":0.001159848,"domain_scores_codex":[0.9949729,0.003465569,0.0002372052,0.0003429585,0.0007105771,0.0002707137],"domain_scores_gemma":[0.9853324,0.01062404,0.0008007341,0.0007398884,0.00135734,0.001145525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01777053,0.02223218,0.03709494,0.006246683,0.0002982838,0.001455308,0.0743802,0.01636942,0.3072572,0.01323898,0.004725847,0.4989304],"study_design_scores_gemma":[0.008292453,0.1765939,0.2551767,0.001304653,0.001155069,0.001841511,0.05796301,0.1563062,0.259116,0.01910593,0.06222994,0.0009146864],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525149,0.00009245084,0.03662962,0.0001771668,0.00003801908,0.00316773,0.00009627469,0.0003297013,0.006954085],"genre_scores_gemma":[0.9292977,0.00012371,0.06400163,0.0001255456,0.00001425956,0.003484668,0.0001331752,0.00006555482,0.00275367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00607489,"threshold_uncertainty_score":0.0321275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2360562032429325,"score_gpt":0.4728478964382186,"score_spread":0.2367916931952861,"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."}}