{"id":"W4409884071","doi":"10.1145/3706598.3714179","title":"HaloTouch: Using IR Multi-Path Interference to Support Touch Interactions with General Surfaces","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interference (communication); Computer science; Path (computing); Human–computer interaction; Telecommunications; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001366356,0.0005654307,0.0005396321,0.0004920539,0.000221055,0.0005852727,0.002032968,0.0001571231,0.0002718782],"category_scores_gemma":[0.00004752664,0.0004728402,0.0002047721,0.0004260118,0.00005479934,0.0007619698,0.003331114,0.0008683722,0.0001538636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003414021,"about_ca_system_score_gemma":0.0007114971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002018837,"about_ca_topic_score_gemma":0.0006329686,"domain_scores_codex":[0.9971535,0.0001196278,0.0004869675,0.001329449,0.0003133247,0.0005971949],"domain_scores_gemma":[0.9975343,0.0001089364,0.0002367258,0.001218284,0.0006926876,0.0002090915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001391438,0.005368992,0.03277199,0.001699296,0.005012001,0.001231985,0.05418254,0.1446803,0.5569147,0.06708375,0.1030364,0.02662653],"study_design_scores_gemma":[0.001163445,0.001050023,0.009125327,0.002298532,0.000198996,0.0001744867,0.00166598,0.7177438,0.2544132,0.0003493646,0.008914181,0.002902624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1296287,0.00001294061,0.8540143,0.0005142547,0.002490924,0.0006112852,0.00008302656,0.00009024969,0.01255439],"genre_scores_gemma":[0.6596774,0.000009821386,0.3196542,0.001833872,0.000118263,0.0000977075,0.00005437879,0.00002498825,0.01852937],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5730636,"threshold_uncertainty_score":0.9997723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06887517592842761,"score_gpt":0.3476854321407559,"score_spread":0.2788102562123282,"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."}}