{"id":"W2134230037","doi":"10.1109/icra.2013.6630719","title":"SEPO: Selecting by pointing as an intuitive human-robot command interface","year":2013,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Interface (matter); Computer science; Robot; Position (finance); Human–computer interaction; Object (grammar); Computer vision; Point (geometry); Gesture; Human–robot interaction; Artificial intelligence; Mathematics","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":[0.0002329611,0.0001634672,0.000175254,0.0000983046,0.000302213,0.0003306903,0.0008427939,0.00009174553,0.0001284757],"category_scores_gemma":[0.0000652145,0.0001461291,0.00003486132,0.0002826681,0.00008284951,0.0007060738,0.0003631471,0.0003339268,0.0003501687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004201204,"about_ca_system_score_gemma":0.00001669691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020279,"about_ca_topic_score_gemma":0.0000586237,"domain_scores_codex":[0.9987192,0.00007802296,0.000222875,0.0004606248,0.0001330375,0.0003862514],"domain_scores_gemma":[0.9991716,0.0000904225,0.0001053437,0.000407769,0.0001405724,0.00008430907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004056841,0.0005518933,0.01859857,0.00003139348,0.0001195325,0.00002086415,0.00390445,0.00005862876,0.5061789,0.1796959,0.03060559,0.2602302],"study_design_scores_gemma":[0.001291596,0.001713737,0.0267777,0.000150062,0.00001856295,0.0002217796,0.00276533,0.05155666,0.8444533,0.06662633,0.00293212,0.001492856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6082124,0.00002151719,0.3740073,0.001146746,0.00008151407,0.000120848,2.925909e-7,0.0008852407,0.01552416],"genre_scores_gemma":[0.9775193,7.02217e-7,0.02054883,0.0003955133,0.00002358197,0.00001568126,0.000001806349,0.00001200909,0.00148255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.369307,"threshold_uncertainty_score":0.5958973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127428669217334,"score_gpt":0.2882219098276511,"score_spread":0.2754790429059177,"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."}}