{"id":"W3211511124","doi":"10.1145/3472307.3484173","title":"Users, Tasks, and Conversational Agents: A Personality Study","year":2021,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of Waterloo","funders":"","keywords":"Extraversion and introversion; Preference; Personality psychology; Personality; Task (project management); Psychology; Interface (matter); Computer science; Social psychology; Human–computer interaction; Big Five personality traits; Mathematics; Engineering; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001067897,0.00005845034,0.00006388768,0.00002455061,0.00009329204,0.0001486418,0.0001982099,0.00001666603,0.0008300371],"category_scores_gemma":[0.00003097325,0.00005632182,0.0000215694,0.000181448,0.00001582896,0.0004886989,0.0002542524,0.00006898285,0.00007900724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003194198,"about_ca_system_score_gemma":0.00006909597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002491727,"about_ca_topic_score_gemma":0.0002883725,"domain_scores_codex":[0.9992759,0.00006793426,0.0001018972,0.0002674045,0.0001949742,0.00009186346],"domain_scores_gemma":[0.9994094,0.00009675445,0.00002558516,0.0002775777,0.0001340777,0.00005657444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001399628,0.002456796,0.6806,0.00004028367,0.0004555296,0.0003904816,0.03732098,0.00005486792,0.0007066572,0.2184181,0.05193803,0.007604325],"study_design_scores_gemma":[0.001000605,0.0001079791,0.9048303,0.00001083388,0.00002469217,0.00014914,0.01330483,0.0453214,0.0004014289,0.002807186,0.03172921,0.0003123574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.884029,0.00004845112,0.09106898,0.01300082,0.0005563927,0.0001805989,0.000006285162,0.0001699321,0.01093955],"genre_scores_gemma":[0.9830849,0.000002738165,0.01314926,0.002181605,0.00003005674,0.000007895494,0.000003077896,0.00000258136,0.001537905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2242303,"threshold_uncertainty_score":0.9088323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03908660715868092,"score_gpt":0.3073023775844722,"score_spread":0.2682157704257913,"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."}}