{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006940588,0.0001750457,0.0002854385,0.00007512004,0.001370375,0.00004604191,0.0005027606,0.00006833572,0.0429866],"category_scores_gemma":[0.0001034009,0.0001416471,0.0002878834,0.0002392615,0.0002883482,0.000095476,0.0001610972,0.0005383887,0.00006415395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002372565,"about_ca_system_score_gemma":0.00004322284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000554634,"about_ca_topic_score_gemma":0.0001784595,"domain_scores_codex":[0.9974923,0.0008698055,0.0004821561,0.0003655627,0.0004863639,0.0003038299],"domain_scores_gemma":[0.9987218,0.0004562655,0.0002793103,0.0004073296,0.0000670045,0.00006829585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000410514,0.008402009,0.482673,0.000006286371,0.0004363088,0.00000549067,0.4592526,0.000002848047,0.0004813025,0.01198017,0.007753165,0.02859636],"study_design_scores_gemma":[0.0005119275,0.0005769175,0.8071933,2.07563e-7,0.00001477434,5.449649e-7,0.1827353,1.418791e-7,0.00002267419,0.0002298665,0.008601981,0.0001123031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858877,0.000003050028,7.229644e-7,0.0002515088,0.001545651,0.0008450654,0.00004516734,0.00007672004,0.01134441],"genre_scores_gemma":[0.9959115,1.359803e-7,2.909824e-7,0.0001371155,0.0001745649,0.000304042,0.00002107265,0.00002069882,0.003430622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3245203,"threshold_uncertainty_score":0.9999297,"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."}}