{"id":"W4385764036","doi":"10.24963/ijcai.2023/640","title":"Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition","year":2023,"lang":"en","type":"article","venue":"","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Mitacs","keywords":"Usability; Computer science; Novelty; Human–computer interaction; Surprise; User interface; Multimedia; World Wide Web; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009376764,0.000628597,0.0005970767,0.001339191,0.0005855469,0.001169911,0.0004346939,0.0007532276,0.001443573],"category_scores_gemma":[0.02155196,0.0002698239,0.0007238787,0.0005833129,0.0007433461,0.0008912215,0.001043816,0.0005084256,0.0003715421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003757336,"about_ca_system_score_gemma":0.0003589008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006830104,"about_ca_topic_score_gemma":0.001165037,"domain_scores_codex":[0.993766,0.003471017,0.0005683102,0.0003789063,0.001487487,0.0003283845],"domain_scores_gemma":[0.9717534,0.01947788,0.002075626,0.001368935,0.003970507,0.001353635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006111784,0.01379414,0.6512641,0.001602276,0.0004997835,0.0007754531,0.07249304,0.001986481,0.09154742,0.0005351159,0.001146936,0.1582435],"study_design_scores_gemma":[0.0001963958,0.02977258,0.9264995,0.0000865804,0.0001905918,0.0005581354,0.01539307,0.00537594,0.01988694,0.0001629096,0.001732223,0.0001451217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983645,0.00002194798,0.0009422263,0.00001189621,0.000003034778,0.0001682196,0.00002365135,0.00002144219,0.0004430999],"genre_scores_gemma":[0.9938028,0.00003899276,0.004937261,0.00002691883,0.000007987587,0.0004457687,0.0001159552,0.00001761955,0.0006067348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009376764,"threshold_uncertainty_score":0.04958963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1153702147853631,"score_gpt":0.4036079487578766,"score_spread":0.2882377339725135,"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."}}