{"id":"W2955393042","doi":"10.1145/3308532.3329474","title":"An Interdependent Model of Personality, Motivation, Emotion, and Mood for Intelligent Virtual Agents","year":2019,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mood; Computer science; Affect (linguistics); Interdependence; Personality; Salient; Human–computer interaction; Cognitive psychology; Task (project management); Intelligent agent; Agent-based model; Affective computing; Psychology; Artificial intelligence; Social psychology; Engineering","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":[0.0004871691,0.0005266111,0.0003634146,0.000429807,0.0006076753,0.001345707,0.0009613732,0.0009282358,0.004483014],"category_scores_gemma":[0.001629822,0.0003247373,0.0006038573,0.0002347407,0.0007227947,0.001259849,0.0007056269,0.0007715789,0.0007318342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008277269,"about_ca_system_score_gemma":0.0007616368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004184912,"about_ca_topic_score_gemma":0.004717919,"domain_scores_codex":[0.9997254,0.000132906,0.00001006263,0.00005860212,0.00004162184,0.00003149539],"domain_scores_gemma":[0.9995912,0.0001781923,0.00006676637,0.00002927765,0.00007138721,0.00006331702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001086841,0.0003121878,0.00665458,0.000117035,0.00008053383,0.0003482537,0.001124495,0.6258741,0.005124673,0.3299315,0.002946115,0.02737796],"study_design_scores_gemma":[0.00001807943,0.00004997367,0.001311161,0.000009772121,0.00001851763,0.00006068583,0.00006369586,0.9690821,0.0001128799,0.02791409,0.001344156,0.0000149287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.146873,0.0003932241,0.7910648,0.003620263,0.0001484247,0.0001763572,0.0003155941,0.000378467,0.0570299],"genre_scores_gemma":[0.9323756,0.000253604,0.054968,0.0001899461,0.00005946932,0.0003047532,0.00008525755,0.00003544092,0.01172796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004483014,"threshold_uncertainty_score":0.01499718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09368402261782453,"score_gpt":0.3936466190057235,"score_spread":0.299962596387899,"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."}}