{"id":"W4225162736","doi":"10.1145/3491101.3503729","title":"The Future of Emotion in Human-Computer Interaction","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Australian Research Council","keywords":"Affective science; Computer science; Human–computer interaction; Emotion classification; Cognitive science; Speculation; Futures contract; Psychology; Cognitive psychology","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":[0.008218196,0.0005139514,0.0007910829,0.001056581,0.001848094,0.0119619,0.000982371,0.003424897,0.004682218],"category_scores_gemma":[0.00849062,0.0002630888,0.0006060006,0.001074995,0.01216441,0.01668399,0.002876431,0.004764805,0.00110111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002728072,"about_ca_system_score_gemma":0.001876169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563385,"about_ca_topic_score_gemma":0.0009796264,"domain_scores_codex":[0.9933935,0.004880853,0.0002015471,0.000401254,0.0008171161,0.0003057486],"domain_scores_gemma":[0.9935842,0.004301749,0.0002782337,0.00041287,0.00101118,0.0004117439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002757109,0.0001197733,0.002862143,0.001975418,0.00007187643,0.000187678,0.02920303,0.001128583,0.00256179,0.5402769,0.02215588,0.3991812],"study_design_scores_gemma":[0.00004677505,0.0002239709,0.006963756,0.002923012,0.00007697428,0.0004977889,0.02156587,0.004122703,0.0008209853,0.6244856,0.3381567,0.000115906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0361099,0.4056906,0.03956457,0.3471217,0.006237989,0.0001106953,0.0001401987,0.0002397965,0.1647845],"genre_scores_gemma":[0.7163081,0.2141517,0.02427907,0.02033169,0.005555925,0.0003459737,0.00009436762,0.0001448653,0.01878825],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0119619,"threshold_uncertainty_score":0.04346251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05091259978143309,"score_gpt":0.3231757227258116,"score_spread":0.2722631229443785,"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."}}