{"id":"W4392898080","doi":"10.61838/kman.aitech.1.3.4","title":"Artificial Empathy: User Experiences with Emotionally Intelligent Chatbots","year":2023,"lang":"en","type":"article","venue":"","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empathy; Thematic analysis; Perception; Psychology; Adaptation (eye); Focus group; Applied psychology; Social psychology; Qualitative research; Sociology","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":[0.008432261,0.0007933117,0.000537187,0.0008473325,0.002944103,0.003715383,0.0008893163,0.001631059,0.002558782],"category_scores_gemma":[0.02253919,0.000399321,0.0005163582,0.0003696622,0.003899752,0.003187102,0.00551668,0.001470438,0.0004091997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008198188,"about_ca_system_score_gemma":0.0005360331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004895663,"about_ca_topic_score_gemma":0.0006606221,"domain_scores_codex":[0.9908546,0.007505864,0.0002201071,0.0003526707,0.0005220681,0.0005447034],"domain_scores_gemma":[0.9834883,0.01267799,0.001193016,0.0006737786,0.0007155011,0.001251461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003054625,0.0002129285,0.008074317,0.0004037769,0.00003528967,0.001244995,0.9627906,0.000252182,0.007226119,0.001541282,0.000790483,0.01712257],"study_design_scores_gemma":[0.00008416246,0.002135318,0.02494859,0.0005529905,0.0001364502,0.004565077,0.9109686,0.004133058,0.005834981,0.003072966,0.04332713,0.0002406988],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988517,0.0002504013,0.006926748,0.0004612475,0.00004300624,0.00007337617,0.00001744523,0.00009542306,0.003615238],"genre_scores_gemma":[0.9959505,0.0001174079,0.002178272,0.0002602499,0.00001584573,0.00007730127,0.00001629868,0.0000292366,0.00135505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008432261,"threshold_uncertainty_score":0.04459453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0817357276944144,"score_gpt":0.400101424589369,"score_spread":0.3183656968949546,"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."}}