{"id":"W4220844735","doi":"10.1145/3524082","title":"Design and Evaluation of an Augmented Reality Head-mounted Display Interface for Human Robot Teams Collaborating in Physically Shared Manufacturing Tasks","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Human-Robot Interaction","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Australian Research Council; Deutsches Zentrum für Luft- und Raumfahrt","keywords":"Human–computer interaction; Workspace; Joystick; Robot; Human–robot interaction; Interface (matter); Augmented reality; Computer science; Teleoperation; Usability; Task (project management); User interface; Artificial intelligence; Simulation; Engineering; Systems engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001621124,0.0002873419,0.0003413518,0.0004348806,0.001095531,0.0001770977,0.0008071399,0.00008651317,0.00008347048],"category_scores_gemma":[0.00004677969,0.000333835,0.0000938191,0.0005758807,0.00006831613,0.001247213,0.00007549434,0.0005475683,0.000002352495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129071,"about_ca_system_score_gemma":0.0001133974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008853576,"about_ca_topic_score_gemma":0.001275266,"domain_scores_codex":[0.9965308,0.0008530701,0.0007935287,0.0008270289,0.0006751236,0.0003204875],"domain_scores_gemma":[0.9976492,0.0004094964,0.0004885956,0.001059292,0.0002990288,0.00009439504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001567264,0.001097206,0.000005934886,0.00004192023,0.00007714307,6.864241e-7,0.002196752,0.8007495,0.1645811,0.000463667,0.00002938771,0.03059998],"study_design_scores_gemma":[0.002376645,0.001090232,0.002324458,0.0001286166,0.0001244822,0.00001672101,0.001611684,0.8495888,0.137794,0.004436963,0.0001100441,0.0003973353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2593273,0.000008676906,0.7379662,0.0006116682,0.0001659868,0.001697056,0.00006252422,0.0001253107,0.00003530344],"genre_scores_gemma":[0.98074,0.000002491544,0.0169648,0.00005981012,0.00002641355,0.001913727,0.0002012492,0.00003289716,0.00005868185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7214127,"threshold_uncertainty_score":0.9999114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1187293550883527,"score_gpt":0.4333743917883547,"score_spread":0.314645036700002,"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."}}