{"id":"W2031784641","doi":"10.1145/2670473.2670487","title":"Gesture interface for an interactive kiosk","year":2014,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal","funders":"","keywords":"Gesture; Interactive kiosk; Computer science; Gesture recognition; Human–computer interaction; User interface; Natural user interface; Multimedia; Interface (matter); User experience design; Artificial intelligence; User interface design; World Wide Web; Programming language","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":[0.0005860637,0.001323625,0.0008402166,0.000877184,0.0005857269,0.001245047,0.001175941,0.001325414,0.03752512],"category_scores_gemma":[0.001787909,0.0003027886,0.0004321087,0.000579725,0.000377357,0.001358263,0.001675657,0.000735787,0.01224393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002915307,"about_ca_system_score_gemma":0.000341456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001821363,"about_ca_topic_score_gemma":0.002626319,"domain_scores_codex":[0.9993123,0.0001121773,0.00006829355,0.0001448649,0.0002936536,0.00006874187],"domain_scores_gemma":[0.9994942,0.0001953871,0.00002757391,0.00007380421,0.0001447772,0.00006425142],"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":[0.002070153,0.0001951794,0.001797096,0.001174892,0.0001243776,0.001835932,0.0009237088,0.002472892,0.3562299,0.009649328,0.05284625,0.5706803],"study_design_scores_gemma":[0.0005388579,0.001775054,0.01552594,0.0006245385,0.0005173539,0.009891318,0.0008613791,0.124743,0.2076794,0.008776415,0.6283229,0.0007438005],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0519914,0.002621131,0.8349528,0.0009165523,0.001497906,0.0007945977,0.00203916,0.06326333,0.04192311],"genre_scores_gemma":[0.5043532,0.001515153,0.3944791,0.001405274,0.0003525527,0.001379252,0.002076542,0.002366996,0.09207191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03752512,"threshold_uncertainty_score":0.125534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212348684968932,"score_gpt":0.2997494782497633,"score_spread":0.2776259914000739,"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."}}