{"id":"W3014098168","doi":"10.1145/3371382.3378280","title":"Warning: This Robot is Not What it Seems! Exploring Expectation Discrepancy Resulting from Robot Design","year":2020,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Disappointment; Robot; Conversation; Humanoid robot; Human–computer interaction; Computer science; Social robot; Range (aeronautics); Artificial intelligence; Psychology; Robot control; Mobile robot; Social psychology; Engineering; Communication","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001677222,0.0002464602,0.0003068934,0.00007406133,0.0002445149,0.0002458885,0.0002351162,0.0001515888,0.02311705],"category_scores_gemma":[0.0003481076,0.0002457076,0.0001670497,0.0002653631,0.00003016384,0.001149491,0.00006922285,0.0003950309,0.004072362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007506458,"about_ca_system_score_gemma":0.00002686352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013252,"about_ca_topic_score_gemma":0.00003687284,"domain_scores_codex":[0.9978492,0.000279461,0.0005375257,0.000664435,0.0002942245,0.0003751447],"domain_scores_gemma":[0.9985253,0.0006459606,0.0002373943,0.0002942581,0.00009389938,0.0002032485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001512451,0.0002484899,0.001544867,0.00001865716,0.0005400734,0.0000852592,0.7576278,0.001791119,0.03100671,0.002832013,0.110053,0.09273959],"study_design_scores_gemma":[0.006500513,0.0008970135,0.02617668,0.0005168638,0.0003077356,0.00001664645,0.7860558,0.01971198,0.08729412,0.0008034392,0.06914932,0.002569873],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1040554,0.001331433,0.6127992,0.1537453,0.01378604,0.001557078,0.00002019344,0.002506108,0.1101992],"genre_scores_gemma":[0.9595062,0.0001891155,0.01490345,0.01424631,0.001558775,0.0002022673,0.00004624694,0.00008391752,0.00926369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8554507,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4252549944198406,"score_gpt":0.3979061311091734,"score_spread":0.02734886331066716,"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."}}