{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009470926,0.0004302106,0.0003043723,0.0007140821,0.001861263,0.004610261,0.001286167,0.001722506,0.002540265],"category_scores_gemma":[0.04466927,0.0003853934,0.0005148466,0.0004018333,0.00616779,0.005351983,0.004799554,0.003504832,0.0003417963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002164231,"about_ca_system_score_gemma":0.001176813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001768274,"about_ca_topic_score_gemma":0.001353325,"domain_scores_codex":[0.9924016,0.005224429,0.0002161902,0.0004665759,0.001358664,0.0003325443],"domain_scores_gemma":[0.9708617,0.01957278,0.004871938,0.001799936,0.002105386,0.0007883528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007622531,0.00036311,0.06377196,0.0005172662,0.000100125,0.001839452,0.6905689,0.003045911,0.01738814,0.1610284,0.002636924,0.05797755],"study_design_scores_gemma":[0.0001368546,0.00108216,0.1071091,0.0005455742,0.0001821431,0.003882065,0.5143387,0.04452886,0.01185025,0.2771252,0.03885399,0.0003649893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8637266,0.0004608542,0.08627208,0.006456885,0.00007750564,0.0001004717,0.00008263448,0.0002042753,0.0426186],"genre_scores_gemma":[0.994609,0.00005256137,0.004264991,0.0002826576,0.000008662694,0.00004538961,0.00003165139,0.00002731569,0.0006778711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009470926,"threshold_uncertainty_score":0.05008763,"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."}}