{"id":"W3106865732","doi":"10.1109/svr51698.2020.00058","title":"Spring Stepper: A Seated VR Locomotion Controller","year":2020,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Usability; Computer science; USable; Human–computer interaction; Stepper; Rudder; Task (project management); Virtual reality; Controller (irrigation); Simulation; Touchpad; Engineering; Multimedia; Computer hardware; Marine engineering","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":[0.0002288102,0.0006176264,0.0003473624,0.000389105,0.0001538356,0.0003409271,0.00134394,0.0004858085,0.01666007],"category_scores_gemma":[0.0006932284,0.000291177,0.0003468812,0.0001506024,0.0001579315,0.0005517406,0.0005805408,0.0003825626,0.002106013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048331,"about_ca_system_score_gemma":0.0003519274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001229787,"about_ca_topic_score_gemma":0.001596793,"domain_scores_codex":[0.9998298,0.00002108869,0.00001571066,0.0000358291,0.00007940608,0.00001816769],"domain_scores_gemma":[0.9997222,0.00006762819,0.00002595327,0.0000474315,0.00007729025,0.00005937318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001887078,0.001026717,0.003614864,0.00123653,0.0001529342,0.001441092,0.0006296965,0.004495451,0.4858513,0.001572961,0.0193317,0.4787596],"study_design_scores_gemma":[0.00215764,0.01837516,0.1070871,0.0003980257,0.0009416175,0.01741748,0.000790655,0.2199048,0.38946,0.001732866,0.2409327,0.0008019992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4088186,0.0008540064,0.5292977,0.0003067094,0.0003552752,0.001493845,0.00305197,0.03879726,0.01702461],"genre_scores_gemma":[0.7387875,0.0005523379,0.2173288,0.0003383163,0.00005953843,0.0007319725,0.002921547,0.0009433235,0.0383367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01666007,"threshold_uncertainty_score":0.05573344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351939232601875,"score_gpt":0.2370508931061557,"score_spread":0.203531500780137,"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."}}