{"id":"W4302293800","doi":"10.1007/s10055-022-00700-z","title":"Optimized virtual reality-based Method of Loci memorization techniques through increased immersion and effective memory palace designs: a feasibility study","year":2022,"lang":"en","type":"article","venue":"Virtual Reality","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sheridan College","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Memorization; Recall; Computer science; Task (project management); Virtual reality; Test (biology); Immersion (mathematics); Perspective (graphical); Human–computer interaction; Human memory; Multimedia; Cognitive psychology; Artificial intelligence; Cognition; Psychology; Mathematics","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":[0.001979267,0.0006341732,0.0003854941,0.0005636909,0.00015838,0.0006472504,0.00115842,0.0005686166,0.002359403],"category_scores_gemma":[0.004116166,0.0002960627,0.0005571698,0.000171236,0.0004212728,0.0007718031,0.0007077432,0.0004005805,0.0002115846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001756099,"about_ca_system_score_gemma":0.0002933664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003119489,"about_ca_topic_score_gemma":0.0003087958,"domain_scores_codex":[0.9990226,0.0004675887,0.00007685513,0.0001099921,0.0002192169,0.0001037132],"domain_scores_gemma":[0.9981654,0.0009226128,0.0001978617,0.0002681229,0.000302241,0.0001437528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.008767258,0.02800193,0.0201425,0.003425605,0.0003430323,0.001141924,0.008165031,0.01345435,0.5300446,0.003354714,0.0008947146,0.3822645],"study_design_scores_gemma":[0.003683407,0.5136464,0.08755314,0.0003419425,0.0008502251,0.002668903,0.004415148,0.04547996,0.3219624,0.001471937,0.01757007,0.0003565847],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977164,0.0001579539,0.02122889,0.00003013278,0.00001871217,0.0006831107,0.00005235721,0.00006339115,0.0006014275],"genre_scores_gemma":[0.9417475,0.000180045,0.05656021,0.00001604226,0.00001296369,0.0005704514,0.00004943717,0.00002028586,0.0008431128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002359403,"threshold_uncertainty_score":0.01046747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0527565643060578,"score_gpt":0.3531491942366112,"score_spread":0.3003926299305534,"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."}}