{"id":"W6988053080","doi":"","title":"Walking on virtual ground: physics, perception, and interface design","year":2011,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère du Développement Économique, de l’Innovation et de l’Exportation; Centre for Interdisciplinary Research in Music Media and Technology","keywords":"Kinesthetic learning; Haptic technology; Usability; Perception; Rendering (computer graphics); Virtual reality; Interface (matter); Sensory substitution","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003404293,0.000322238,0.0003868809,0.0003557237,0.0002475622,0.001811471,0.0007540697,0.0007322654,0.00318357],"category_scores_gemma":[0.0007835945,0.000354781,0.0003133469,0.0003517689,0.00059998,0.001292755,0.0006305655,0.0004941504,0.0006601076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213462,"about_ca_system_score_gemma":0.0002832626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004663828,"about_ca_topic_score_gemma":0.0003592952,"domain_scores_codex":[0.9997478,0.00007434214,0.00001432279,0.00003852327,0.0001014159,0.00002364557],"domain_scores_gemma":[0.9998745,0.00005035904,0.00001239703,0.00001651429,0.00003344563,0.00001274697],"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":[0.000298748,0.0002879591,0.00211702,0.001244906,0.00008998479,0.0006068928,0.001522976,0.05797107,0.2654673,0.1458866,0.008970676,0.5155358],"study_design_scores_gemma":[0.00009329201,0.001243114,0.008603294,0.0004683393,0.0001228944,0.003453599,0.001432946,0.6727652,0.05334454,0.1292752,0.1290143,0.0001833908],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06580011,0.01136575,0.9006698,0.0009442138,0.0002365158,0.0002057383,0.00008718291,0.0006589983,0.02003162],"genre_scores_gemma":[0.7328788,0.01170231,0.2348296,0.000289183,0.0001685405,0.0004155042,0.0001737456,0.0001482417,0.01939402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00318357,"threshold_uncertainty_score":0.0106501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05308951446857382,"score_gpt":0.2797171783278071,"score_spread":0.2266276638592332,"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."}}