{"id":"W4388727214","doi":"10.1109/gcce59613.2023.10315548","title":"Exploring 2D, 3D and Spatial Audio User Interfaces in VR for Reminiscence Therapy","year":2023,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Usability; Human–computer interaction; Computer science; Multimedia; Reminiscence; Audio feedback; User experience design; Cognitive load; Virtual reality; User interface; Interface (matter); Cognition; Psychology; Engineering","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":[0.001639101,0.0006338215,0.0002251352,0.0005659498,0.0001901622,0.001889345,0.0006383041,0.0007055867,0.00484204],"category_scores_gemma":[0.00466046,0.0002280074,0.000627313,0.0002457244,0.0003166183,0.001262498,0.0008869278,0.0003011809,0.000657669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665986,"about_ca_system_score_gemma":0.000192762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004500283,"about_ca_topic_score_gemma":0.0006383233,"domain_scores_codex":[0.9990849,0.000507929,0.00005546328,0.00007108584,0.0002089106,0.00007168848],"domain_scores_gemma":[0.9982125,0.00141201,0.00008635998,0.00006916129,0.0001675573,0.00005246942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002159621,0.0007168152,0.00885896,0.004055015,0.0002311415,0.001733714,0.02827049,0.007719789,0.2424423,0.01196138,0.003910471,0.6879402],"study_design_scores_gemma":[0.001677638,0.0241513,0.1350074,0.006357393,0.002040361,0.01878536,0.04819262,0.1960604,0.2006369,0.02707846,0.3387704,0.001241825],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6134331,0.005304649,0.3551964,0.0006257111,0.0001605066,0.0007364787,0.0003182875,0.002379047,0.02184592],"genre_scores_gemma":[0.8119141,0.001889256,0.1802867,0.0003753203,0.00005159421,0.0005258443,0.0002088926,0.0001779553,0.004570288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00484204,"threshold_uncertainty_score":0.01619822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1709663262059068,"score_gpt":0.3168093035816489,"score_spread":0.145842977375742,"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."}}