{"id":"W4416401311","doi":"10.1109/ismar-adjunct68609.2025.00205","title":"HickStudyVR: A Hick’s Law-Based Information Processing Speed Test in VR for Large Choice Sets","year":2025,"lang":"","type":"article","venue":"","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation","keywords":"Reciprocal; Perception; Information processing; Cognition; Ranging; Measure (data warehouse); Virtual reality; Stimulus (psychology)","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":[0.00218375,0.001003922,0.0006068601,0.001274041,0.0002249187,0.0009722817,0.00103833,0.0009618761,0.008446777],"category_scores_gemma":[0.02840125,0.0004046039,0.0006770042,0.0006277849,0.0004524916,0.001731451,0.001087228,0.0006826518,0.001509933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002616357,"about_ca_system_score_gemma":0.000335253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151857,"about_ca_topic_score_gemma":0.001552723,"domain_scores_codex":[0.9980566,0.0006617057,0.0002616094,0.0004160095,0.0005068923,0.00009715709],"domain_scores_gemma":[0.9838335,0.01236648,0.00159143,0.001107289,0.0006576818,0.000443592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01701376,0.006510213,0.1962258,0.00200678,0.0009595406,0.001144152,0.005204576,0.02186073,0.1212402,0.007709247,0.01806307,0.6020619],"study_design_scores_gemma":[0.001322072,0.01963216,0.7940516,0.0002143616,0.0002776198,0.002458313,0.0008727047,0.1108908,0.05049313,0.006975914,0.01232112,0.0004902132],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9379147,0.0002501854,0.04949239,0.00009262877,0.00008931653,0.001147086,0.002797384,0.001699421,0.006516844],"genre_scores_gemma":[0.9329848,0.0001845621,0.05693215,0.0001722136,0.00002582432,0.002583547,0.002843247,0.0003231125,0.003950558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008446777,"threshold_uncertainty_score":0.02825731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233704792728012,"score_gpt":0.2783678403351014,"score_spread":0.2660307924078213,"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."}}