{"id":"W4212935216","doi":"10.2196/35358","title":"The Acceptability of Virtual Characters as Social Skills Trainers: Usability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; Japan Science and Technology Agency; Japan Society for the Promotion of Science","keywords":"Virtual agent; Usability; Social skills; Psychology; Virtual training; Virtual reality; Applied psychology; Computer science; Multimedia; Human–computer interaction; Developmental psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008545494,0.0006395202,0.0006589015,0.0006925552,0.0005635924,0.001102539,0.0005064998,0.0006214419,0.001730277],"category_scores_gemma":[0.03064995,0.0003106546,0.0007953304,0.000249504,0.0006104695,0.0008472089,0.001029338,0.0006315148,0.0002599435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004158996,"about_ca_system_score_gemma":0.0003002746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006987352,"about_ca_topic_score_gemma":0.0007968833,"domain_scores_codex":[0.9949062,0.003361756,0.0004463582,0.0003806833,0.0006777927,0.0002272516],"domain_scores_gemma":[0.9683184,0.02453698,0.001599781,0.001582092,0.00294709,0.001015649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008901504,0.02355115,0.4546668,0.006205013,0.000870383,0.001874027,0.1664466,0.00314184,0.07247914,0.0007381978,0.003994471,0.2571309],"study_design_scores_gemma":[0.001671944,0.07318373,0.8200655,0.0006301277,0.0009689893,0.002259212,0.04457147,0.01365002,0.02510834,0.0004829564,0.01697582,0.0004318752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981647,0.00005543629,0.0007129096,0.00002745672,0.00001261532,0.000242509,0.00003425064,0.00002389844,0.0007261548],"genre_scores_gemma":[0.996426,0.00007562847,0.002374501,0.00005587188,0.00001980026,0.0004881775,0.00005722156,0.00001598369,0.000486802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008545494,"threshold_uncertainty_score":0.04519337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729714191434303,"score_gpt":0.4139474933422795,"score_spread":0.3666503514279364,"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."}}