{"id":"W3111856947","doi":"10.1109/smc42975.2020.9283254","title":"Toward Design Archetypes for Conversational Agent Personality","year":2020,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"Canada Research Chairs","keywords":"Archetype; Persona; Personality; Computer science; Function (biology); Dialog system; Intelligent agent; The Internet; Service (business); Human–computer interaction; Knowledge management; World Wide Web; Artificial intelligence; Psychology; Social psychology; Business; Dialog box","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":[],"consensus_categories":[],"category_scores_codex":[0.0001088057,0.00005942402,0.00006252126,0.00001374471,0.00005760643,0.00006503293,0.0004078455,0.00002119341,0.0003061271],"category_scores_gemma":[0.00006780266,0.00005423735,0.00005843705,0.00009588985,0.00001528955,0.0002814871,0.00008855748,0.0000527692,0.0001921817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003411154,"about_ca_system_score_gemma":0.00007943861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002629713,"about_ca_topic_score_gemma":0.000002280662,"domain_scores_codex":[0.9993919,0.00003231621,0.0001032085,0.0002178099,0.0001423745,0.0001123701],"domain_scores_gemma":[0.9993784,0.0002777261,0.00003088033,0.0001225385,0.0001002827,0.00009012905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001071998,0.0001729086,0.0007673966,0.0001228305,0.0001793828,0.0000105783,0.02951119,0.003066294,0.003743044,0.767995,0.1809747,0.01334948],"study_design_scores_gemma":[0.0003244561,0.0001394862,0.001042141,0.000003912367,0.000007926671,0.000006820497,0.0003711566,0.9191602,0.006186135,0.00991503,0.0626687,0.0001739786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004094203,0.000007320054,0.9340953,0.06334432,0.0001601144,0.0001674206,0.000003921422,0.0001314918,0.001680691],"genre_scores_gemma":[0.517369,0.00000111819,0.4718549,0.01040809,0.0001076925,0.00003298762,0.000003520167,0.000003865802,0.0002187633],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9160939,"threshold_uncertainty_score":0.3351877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2171417204556975,"score_gpt":0.3185512865696218,"score_spread":0.1014095661139243,"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."}}