{"id":"W2105315098","doi":"10.1109/have.2009.5356120","title":"A mobile 3D user interface for interaction with ambient audio visual environments","year":2009,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Human–computer interaction; User interface; Mobile device; Visualization; Mobile interaction; Interface (matter); User interface design; Orientation (vector space); Ambient intelligence; User experience design; Artificial intelligence; World Wide Web","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":[0.0007680799,0.0008931346,0.0006166233,0.0006254811,0.0004008861,0.001055931,0.001112331,0.00108402,0.01224561],"category_scores_gemma":[0.002113037,0.0003565548,0.0005495826,0.000318291,0.0003158428,0.000966933,0.001431771,0.0005965687,0.002797993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002280792,"about_ca_system_score_gemma":0.0002919259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007711878,"about_ca_topic_score_gemma":0.0007792105,"domain_scores_codex":[0.9992847,0.0001395971,0.00004537165,0.00008413038,0.0003963527,0.00004984246],"domain_scores_gemma":[0.9994999,0.0001830834,0.00002781618,0.00007642368,0.0001575201,0.00005522789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001254708,0.0002094554,0.001374816,0.0007965437,0.0001102269,0.001017434,0.001619496,0.006265615,0.3299619,0.01208427,0.02722357,0.6180819],"study_design_scores_gemma":[0.0006846315,0.003151811,0.008445296,0.0003841024,0.0003585337,0.007204456,0.0004223801,0.2501428,0.204764,0.006179232,0.5176935,0.0005693636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.015545,0.0003945804,0.9616629,0.000125703,0.0001571171,0.0004169259,0.0003521362,0.01645569,0.00488988],"genre_scores_gemma":[0.1868636,0.0005190644,0.7964767,0.0004978424,0.0001035061,0.001146894,0.001150977,0.001493772,0.01174766],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01224561,"threshold_uncertainty_score":0.04096562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101337897590726,"score_gpt":0.2914574186001743,"score_spread":0.280444039624267,"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."}}