{"id":"W4410204022","doi":"10.1109/taffc.2025.3567740","title":"Past, Present, and Future: A Survey of the Evolution of Affective Robotics for Well-Being","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Affective Computing","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Robotics; Artificial intelligence; Psychology; Affective computing; Computer science; Cognitive science; Data science; Human–computer interaction; Cognitive psychology; Robot","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":[0.007226477,0.0006045302,0.001498666,0.00708315,0.0007060711,0.004274617,0.0008425753,0.001376275,0.002963729],"category_scores_gemma":[0.01881832,0.0006575531,0.001467606,0.007866834,0.002185679,0.005184398,0.001374462,0.002089574,0.0006172145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00350372,"about_ca_system_score_gemma":0.007286252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006750435,"about_ca_topic_score_gemma":0.01232891,"domain_scores_codex":[0.9956388,0.002071731,0.0007935845,0.0004817731,0.0008751528,0.0001390247],"domain_scores_gemma":[0.9738207,0.02080571,0.00175974,0.0003557674,0.002903067,0.0003550197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001217067,0.00004231495,0.003629598,0.08489724,0.0003769722,0.0001455606,0.004197647,0.0002964077,0.0005810281,0.01273459,0.008043688,0.8849332],"study_design_scores_gemma":[0.0000320319,0.0003130757,0.03249092,0.2595607,0.001424899,0.002148909,0.01094115,0.0005344212,0.0008238658,0.01631938,0.675218,0.0001926164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008222376,0.9958779,0.0003853184,0.001544835,0.0001151899,0.00001228655,0.00003673986,0.000004939154,0.00120071],"genre_scores_gemma":[0.009767004,0.9882593,0.0006973057,0.0009022515,0.0001092149,0.00002934358,0.00003493342,0.000006965911,0.0001935844],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007226477,"threshold_uncertainty_score":0.03821772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973837886126489,"score_gpt":0.3331362374628805,"score_spread":0.3133978586016156,"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."}}