{"id":"W2771888198","doi":"10.1109/roman.2017.8172365","title":"A Wizard-of-Oz study of curiosity in human-robot interaction","year":2017,"lang":"en","type":"article","venue":"","topic":"Psychological and Educational Research Studies","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Curiosity; Surprise; Robot; Human–computer interaction; Wizard; Context (archaeology); Computer science; Service (business); sort; Object (grammar); Variety (cybernetics); Wizard of oz; Psychology; Artificial intelligence; World Wide Web; Social psychology; Information retrieval","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002840557,0.00005750114,0.0001680459,0.00007733954,0.0001104894,0.000009147788,0.0002595501,0.00003303325,0.001181258],"category_scores_gemma":[0.000240401,0.00004188882,0.00003270571,0.00005029899,0.0001110527,0.00006817897,0.0001043685,0.0001257327,0.00004037469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001524928,"about_ca_system_score_gemma":0.000007750376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003689575,"about_ca_topic_score_gemma":0.0007809983,"domain_scores_codex":[0.9992698,0.00007815964,0.0002114271,0.0001693134,0.0001400991,0.0001312235],"domain_scores_gemma":[0.9992863,0.0001307402,0.0001254934,0.0003483683,0.00007991622,0.0000291584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002115797,0.006956748,0.9702561,0.0000135751,0.0001096725,0.00000715561,0.006036652,0.000002476868,0.001449682,0.004694777,0.004633481,0.005628078],"study_design_scores_gemma":[0.0006034415,0.0004670533,0.9921322,0.00001242258,0.000003804891,6.449541e-7,0.004691305,9.835705e-7,0.0001033609,0.001614564,0.0003297043,0.00004048301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8645265,0.00002660087,0.000009077222,0.0003983131,0.0002985153,0.0001660246,0.000001289309,0.000005424743,0.1345683],"genre_scores_gemma":[0.996769,0.000006696828,0.00002364291,0.00002819245,0.00004034894,0.00003682366,7.860675e-7,0.000002437105,0.00309206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1322426,"threshold_uncertainty_score":0.9997318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.366387970138572,"score_gpt":0.5868540183514397,"score_spread":0.2204660482128676,"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."}}