{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000293366,0.0000970006,0.0001265824,0.00005615833,0.00005443524,0.0001633973,0.0004887377,0.00005533224,0.00001554329],"category_scores_gemma":[0.00007171359,0.00007342906,0.00004702765,0.0001005203,0.00001121511,0.0006046227,0.00007821642,0.00007649401,0.000158824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001697379,"about_ca_system_score_gemma":0.00001435448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001257618,"about_ca_topic_score_gemma":0.00004655383,"domain_scores_codex":[0.9992091,0.00008449957,0.0001382778,0.0003014693,0.0001043248,0.0001623362],"domain_scores_gemma":[0.9991571,0.0001942634,0.00005523226,0.00035761,0.0001418424,0.00009391714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005151599,0.0003027998,0.0003532374,0.00007719534,0.00008927873,0.000001626296,0.008396618,0.00009547767,0.01051202,0.1969486,0.04028138,0.7428902],"study_design_scores_gemma":[0.001799064,0.001608707,0.001447051,0.0001160882,0.0000148224,0.00009778912,0.000659219,0.183532,0.05798544,0.02685247,0.7250832,0.0008041399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003120402,0.00001086048,0.9688042,0.0008811889,0.0006757149,0.0002282416,0.00000154052,0.0002287816,0.02604907],"genre_scores_gemma":[0.9544065,5.479891e-7,0.04313912,0.0006989824,0.0001971665,0.00004357558,0.000002332098,0.000007449041,0.001504343],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9512861,"threshold_uncertainty_score":0.299435,"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."}}