{"id":"W4376877988","doi":"10.1007/s12369-023-01013-0","title":"Hey Robot, Tell It to Me Straight: How Different Service Strategies Affect Human and Robot Service Outcomes","year":2023,"lang":"en","type":"article","venue":"International Journal of Social Robotics","topic":"AI in Service Interactions","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Moonshot Research and Development Program; Core Research for Evolutional Science and Technology","keywords":"Service (business); Service robot; Customer advocacy; Robot; Computer science; Human–robot interaction; Customer satisfaction; Customer retention; Customer to customer; Human–computer interaction; Business; Knowledge management; Engineering; Marketing; Artificial intelligence; Service quality","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001635586,0.0001627088,0.0002376047,0.0004929575,0.0007591806,0.002985845,0.0005331389,0.00144814,0.006150861],"category_scores_gemma":[0.02091089,0.0002655428,0.0002185924,0.000369133,0.001487516,0.001633018,0.001267498,0.001433727,0.0008935737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007749039,"about_ca_system_score_gemma":0.0008905865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009675757,"about_ca_topic_score_gemma":0.01400679,"domain_scores_codex":[0.9988801,0.0005241901,0.00003077959,0.0001231681,0.0002094122,0.0002323367],"domain_scores_gemma":[0.9921907,0.004633241,0.001144301,0.0002841639,0.0005321543,0.001215421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005076708,0.003689304,0.7450134,0.0002649036,0.0005058105,0.0009458163,0.09136171,0.005077166,0.02012224,0.01893753,0.00432478,0.1046807],"study_design_scores_gemma":[0.0001475327,0.0007054689,0.9131311,0.00007343345,0.0001985878,0.0003364375,0.0548683,0.008700319,0.001851795,0.01736849,0.002519977,0.00009874561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993978,0.00004537276,0.0004180176,0.0003039876,0.000009576267,0.000008278248,0.00002836042,0.000008208877,0.005200173],"genre_scores_gemma":[0.9989874,0.00002106071,0.0001924278,0.00006607614,0.000001611987,0.000008023716,0.00002031126,0.0000141683,0.0006889058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009675757,"threshold_uncertainty_score":0.02057672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04707559460751819,"score_gpt":0.3540404057362956,"score_spread":0.3069648111287774,"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."}}