{"id":"W2626594719","doi":"10.1007/978-3-319-60639-2_14","title":"A Study of Viewpoint and Feedback in Wearable Systems for Controlling a Robot Arm","year":2017,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Robotic arm; Humanoid robot; Human–computer interaction; Perspective (graphical); Robot; Haptic technology; Wearable computer; Artificial intelligence; Computer vision; Simulation; Control engineering; Engineering; Embedded 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":[0.0002100122,0.0004517023,0.0004667237,0.0001975315,0.0003108751,0.00100734,0.0005740022,0.0005120033,0.003642817],"category_scores_gemma":[0.001145057,0.0002096089,0.0005822248,0.000376203,0.0005865088,0.0009524585,0.0004480323,0.0006236112,0.0004163893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004237953,"about_ca_system_score_gemma":0.0002566634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002229774,"about_ca_topic_score_gemma":0.001561204,"domain_scores_codex":[0.9998197,0.00004056947,0.000005834145,0.00004069588,0.0000755108,0.00001766834],"domain_scores_gemma":[0.9996328,0.0002359088,0.00002213542,0.00003591419,0.00006042448,0.00001275104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007504649,0.0001699021,0.001293333,0.001020152,0.0001098567,0.001208066,0.002328496,0.08068164,0.1837209,0.4035878,0.005274209,0.3198552],"study_design_scores_gemma":[0.00007148234,0.001577578,0.008360034,0.000261966,0.0001264506,0.002272247,0.001107265,0.782032,0.04022886,0.1264981,0.03734918,0.0001147264],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1588109,0.0187222,0.7167847,0.0005902222,0.0005524464,0.00008187826,0.0001056367,0.0002454606,0.1041066],"genre_scores_gemma":[0.9177627,0.00636723,0.04093949,0.0001049204,0.0001592158,0.00003423915,0.00006331018,0.00009009921,0.03447885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003642817,"threshold_uncertainty_score":0.01218647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971149783679122,"score_gpt":0.273538027966043,"score_spread":0.2438265301292518,"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."}}