{"id":"W2157071637","doi":"10.1109/have.2008.4685311","title":"A multi-modal floor-space for experiencing material deformation underfoot in virtual reality","year":2008,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Computer science; Haptic technology; Virtual reality; Human–computer interaction; Modalities; Rendering (computer graphics); Focus (optics); Augmented reality; Terrain; Impression; Modal; Auditory display; Computer graphics (images); Simulation","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":[0.0001666664,0.0005630211,0.0002239572,0.0002214483,0.0003543207,0.0007688386,0.0004994193,0.0004810257,0.003752831],"category_scores_gemma":[0.0003831824,0.0001852738,0.0003099485,0.0001050592,0.0005794035,0.0004955803,0.001182286,0.0003049253,0.0003728145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009832811,"about_ca_system_score_gemma":0.0001862945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000223096,"about_ca_topic_score_gemma":0.0006521959,"domain_scores_codex":[0.9998271,0.00006803294,0.000006156075,0.00002408457,0.00004719376,0.00002741603],"domain_scores_gemma":[0.9998485,0.00005180253,0.00001204271,0.00002633279,0.00001710442,0.00004416527],"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":[0.0005400358,0.0003159915,0.001401994,0.0006591031,0.00005870299,0.00151462,0.003074688,0.02124777,0.786356,0.01399932,0.002390944,0.1684408],"study_design_scores_gemma":[0.0005394442,0.006331515,0.02391043,0.0003757848,0.0004919868,0.01308171,0.0051918,0.3586825,0.4254393,0.03435278,0.1309663,0.0006363838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.372224,0.0004614335,0.6125809,0.0003014869,0.0001562777,0.0001686839,0.0001433015,0.001729138,0.01223484],"genre_scores_gemma":[0.7844846,0.0001738938,0.2112613,0.00008649433,0.00002396843,0.0001070245,0.00006030307,0.00007954974,0.003722964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003752831,"threshold_uncertainty_score":0.01255447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06792829054020026,"score_gpt":0.3078565517176088,"score_spread":0.2399282611774086,"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."}}