{"id":"W4415281715","doi":"10.1145/3772070","title":"“Take Nothing on Its Look”: Revealing Users’ Expectations and Experiences in Social Human–Robot Interaction","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Human-Robot Interaction","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Reflexivity; Social relation; Experiential learning; Thematic analysis; Qualitative research; Nothing; Social robot; Human–robot interaction","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002653326,0.0004786109,0.0005054132,0.001494706,0.001818552,0.000313012,0.000374047,0.0003962727,0.003380802],"category_scores_gemma":[0.0001249815,0.0005516159,0.000282878,0.0007327123,0.0001366058,0.001026444,0.00002103985,0.001494288,0.0003493391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006790532,"about_ca_system_score_gemma":0.00004218547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007421676,"about_ca_topic_score_gemma":0.00117215,"domain_scores_codex":[0.9967905,0.0003905046,0.0009912404,0.0009559623,0.0003457879,0.0005260207],"domain_scores_gemma":[0.9980842,0.0007421898,0.000379373,0.0005144223,0.0001730669,0.0001066995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.003316624,0.006267921,0.0007363577,0.0002047873,0.001579867,0.0001026018,0.7656651,0.007160714,0.06073541,0.03007017,0.006916246,0.1172442],"study_design_scores_gemma":[0.006361665,0.001463793,0.02312603,0.001846379,0.0004714131,0.0001022225,0.9224134,0.0008984329,0.02676555,0.001940739,0.01252317,0.002087203],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382683,0.00009945161,0.01891411,0.004281915,0.009039235,0.0009789504,0.00001690691,0.0004904786,0.02791064],"genre_scores_gemma":[0.9901907,0.00001586017,0.0002315763,0.001190823,0.0003858825,0.000746853,0.0000404639,0.00006011562,0.007137692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1567483,"threshold_uncertainty_score":0.9996935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2019616972140651,"score_gpt":0.4753776342528572,"score_spread":0.2734159370387921,"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."}}