{"id":"W4409721053","doi":"10.1145/3706599.3720000","title":"ClickSense: A Low-Cost Tangible Active User Input Method Using Passive Acoustic Sensing for Mobile Virtual Reality","year":2025,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Virtual reality; Human–computer interaction; Mobile telephony; Mobile radio; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0003028669,0.0002515276,0.000337488,0.0002363665,0.0003357794,0.0001771997,0.0003994018,0.000123914,0.00002094656],"category_scores_gemma":[0.0002532662,0.0002288217,0.0002101337,0.0005971646,0.00005485555,0.0008112274,0.0003358669,0.0002171804,0.00001908733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003042874,"about_ca_system_score_gemma":0.0002601997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002702674,"about_ca_topic_score_gemma":0.00004955961,"domain_scores_codex":[0.9981195,0.0001957194,0.0003149387,0.0006747491,0.0001899552,0.0005051235],"domain_scores_gemma":[0.9975926,0.001019346,0.0001565134,0.0005341425,0.0006106344,0.00008675686],"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":[0.0004744399,0.0003562094,0.00004967641,0.0001326779,0.0005529235,0.0000609958,0.003685279,0.02024207,0.835826,0.04265183,0.01928272,0.07668521],"study_design_scores_gemma":[0.0007067852,0.0001167103,0.0003041834,0.0001274842,0.00006933593,0.00001896371,0.001859149,0.5095165,0.4820781,0.0009701602,0.003904127,0.0003284765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01465859,0.000008182998,0.9802545,0.0003900144,0.0007720819,0.0008835387,0.00004110843,0.00004902305,0.002942924],"genre_scores_gemma":[0.8810176,0.000003982859,0.1125477,0.003173681,0.000127716,0.00006448623,0.00002048057,0.00002410716,0.003020274],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8677068,"threshold_uncertainty_score":0.9331077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518734817004097,"score_gpt":0.3595027270820277,"score_spread":0.3343153789119867,"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."}}