{"id":"W4400111722","doi":"10.1109/tvcg.2024.3420236","title":"A Comparison of Virtual Reality Menu Archetypes: Raycasting, Direct Input, and Marking Menus","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; USable; Human–computer interaction; Archetype; Virtual reality; Interaction technique; Hierarchy; Computer graphics (images); User interface; Multimedia","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002259936,0.0001678726,0.0002298142,0.0003453883,0.0001832209,0.0001728326,0.0001511381,0.00007362795,0.000005799984],"category_scores_gemma":[0.000003438277,0.0001617567,0.00007723694,0.000560662,0.00009966867,0.0003735915,0.000009755558,0.0001912057,0.000002030391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001907356,"about_ca_system_score_gemma":0.00003354083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002851417,"about_ca_topic_score_gemma":0.00001448832,"domain_scores_codex":[0.9987757,0.0001488656,0.0003017898,0.0003978728,0.000218601,0.0001572257],"domain_scores_gemma":[0.9993084,0.0002491843,0.00007728472,0.0001800428,0.0001106957,0.00007437568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007875759,0.0005205586,0.0004106807,0.0003064886,0.0003476896,0.00001346111,0.01584858,0.00108478,0.001921818,0.925293,0.0007797944,0.05339438],"study_design_scores_gemma":[0.0002199097,0.0004180566,0.0006204348,0.0002095781,0.00003625731,0.00001595953,0.00009964003,0.9829471,0.01320711,0.0003032899,0.001737727,0.000184927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01766918,0.0001745303,0.9809499,0.00005699926,0.0006584307,0.0001235718,0.00001181395,0.00007126592,0.0002842374],"genre_scores_gemma":[0.9991697,0.0001747198,0.0003214281,0.0002313739,0.00003275756,0.00000837321,0.000005058203,0.00001217877,0.0000444232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9818623,"threshold_uncertainty_score":0.6596247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0384366944293776,"score_gpt":0.3422989241174085,"score_spread":0.3038622296880309,"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."}}