{"id":"W4321222391","doi":"10.1145/3582516","title":"How Do We Perceive Our Trainee Robots? Exploring the Impact of Robot Errors and Appearance When Performing Domestic Physical Tasks on Teachers’ Trust and Evaluations","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Human-Robot Interaction","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robot; Task (project management); Perception; Human–computer interaction; Affect (linguistics); Computer science; Applied psychology; Psychology; Human–robot interaction; Artificial intelligence; Cognitive psychology; Engineering; Communication","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"],"consensus_categories":[],"category_scores_codex":[0.0003473599,0.0004034768,0.0004301488,0.0005663215,0.0008730925,0.0002035899,0.0002700126,0.0001472976,0.0003203364],"category_scores_gemma":[0.0001620299,0.0003263555,0.0003599009,0.0004465278,0.000147436,0.0007468038,0.0000158217,0.001069974,0.0001263962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002593156,"about_ca_system_score_gemma":0.00003506687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005578657,"about_ca_topic_score_gemma":0.0001053529,"domain_scores_codex":[0.9978772,0.0003239639,0.0003978682,0.0006007016,0.0003710681,0.0004291669],"domain_scores_gemma":[0.9982682,0.0005952985,0.0002487053,0.0006181058,0.0001272296,0.0001423921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001024732,0.001491361,0.000690085,0.00008833759,0.001476501,0.00002092087,0.2747301,0.1165075,0.02863678,0.001016645,0.001251572,0.5730655],"study_design_scores_gemma":[0.00646695,0.005585854,0.5458724,0.001737701,0.001076232,0.0004265246,0.4068578,0.02030916,0.002003924,0.006574967,0.001149857,0.001938617],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846946,0.00008527049,0.00615934,0.005989381,0.001490499,0.000684896,0.00002798119,0.0002246981,0.0006433517],"genre_scores_gemma":[0.996491,0.0001602718,0.0001161593,0.00005481406,0.000322757,0.0003993529,0.00001492616,0.00006930967,0.002371408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5711269,"threshold_uncertainty_score":0.9999189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2221923245033651,"score_gpt":0.467210827640704,"score_spread":0.2450185031373389,"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."}}