{"id":"W2099312789","doi":"10.1109/tdpvt.2002.1024104","title":"Effects of joystick mapping and field-of-view on human performance in virtual walkthroughs","year":2003,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Joystick; Immersion (mathematics); Computer science; Virtual machine; Virtual reality; Computer vision; Virtual space; Field of view; Computer graphics (images); Simulation; Human–computer interaction; Mathematics","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":[0.001013587,0.000895369,0.0003969273,0.000333459,0.0002985323,0.0007617333,0.0002832902,0.0004903294,0.002118214],"category_scores_gemma":[0.009809325,0.0002444704,0.0002828467,0.0001144382,0.0006637514,0.0005108283,0.001111181,0.0003233015,0.0002729797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123638,"about_ca_system_score_gemma":0.0001495397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006943981,"about_ca_topic_score_gemma":0.0004568924,"domain_scores_codex":[0.9986935,0.0006956034,0.0000733718,0.0001616476,0.0002225108,0.0001534529],"domain_scores_gemma":[0.9919521,0.006170087,0.0005066982,0.0003637629,0.0003472606,0.0006600364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.03398497,0.003170319,0.04172891,0.001617826,0.0004478864,0.0008387361,0.01410253,0.01736151,0.730372,0.0004579776,0.0008760435,0.1550413],"study_design_scores_gemma":[0.0009803151,0.06587459,0.6935363,0.0003276091,0.0006412861,0.001561643,0.008356318,0.0207369,0.2015086,0.001468218,0.00449152,0.0005167135],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972934,0.0000835626,0.001891533,0.00001342032,0.000009262464,0.00001325641,0.00003450226,0.00005986239,0.0006010612],"genre_scores_gemma":[0.9983896,0.0000542979,0.001109253,0.000009749914,0.000006017005,0.00001972522,0.00003677846,0.0000199055,0.0003546629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002118214,"threshold_uncertainty_score":0.007086098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569781808748628,"score_gpt":0.2941645894162143,"score_spread":0.268466771328728,"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."}}