{"id":"W2077948728","doi":"10.1145/2393091.2393096","title":"On the performance evaluation of a vision-based human-robot interaction framework","year":2012,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Computer science; Human–computer interaction; Usability; Robot; Variety (cybernetics); Interface (matter); Human–robot interaction; Dialog box; Software deployment; Task (project management); Set (abstract data type); Mobile robot; Artificial intelligence; Software engineering; Systems engineering; Engineering; Programming language; Operating system","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":[0.006186285,0.001975014,0.001196207,0.001533682,0.0007334278,0.00180912,0.00224075,0.001982517,0.004149907],"category_scores_gemma":[0.01878672,0.0004465403,0.0006613249,0.0005907062,0.0008981532,0.001831175,0.001735524,0.0009663454,0.001159151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492965,"about_ca_system_score_gemma":0.001251496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152673,"about_ca_topic_score_gemma":0.005144195,"domain_scores_codex":[0.9911975,0.003438434,0.0004287199,0.001019354,0.003359401,0.0005565268],"domain_scores_gemma":[0.9908308,0.005929749,0.0005017396,0.000604798,0.001715775,0.0004172424],"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":[0.01310492,0.003062705,0.008014292,0.002129943,0.0007871879,0.000660226,0.0007568645,0.1780912,0.1443967,0.00295256,0.005130467,0.640913],"study_design_scores_gemma":[0.0004265445,0.01071652,0.01389641,0.0001156339,0.0003067814,0.001120509,0.0003690526,0.8835676,0.08398721,0.0009917882,0.004261781,0.0002402163],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5730284,0.003863938,0.3966556,0.0003936273,0.0002472104,0.00159583,0.0005030046,0.01173494,0.01197743],"genre_scores_gemma":[0.8581645,0.000436117,0.1371536,0.0002029835,0.00004457387,0.0003444622,0.0006576095,0.0003474091,0.002648642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01152673,"threshold_uncertainty_score":0.03271663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0753996606130986,"score_gpt":0.360919472927398,"score_spread":0.2855198123142994,"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."}}