{"id":"W2996802399","doi":"10.20380/gi2018.17","title":"EZCursorVR: 2D Selection with Virtual Reality Head-Mounted Displays","year":2018,"lang":"en","type":"article","venue":"Canada Human-Computer Communications Society","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Joystick; Computer science; Cursor (databases); Virtual reality; Ray casting; Fitts's law; Optical head-mounted display; Input device; Computer vision; Computer graphics (images); Artificial intelligence; Simulation; Computer hardware; Rendering (computer graphics); Volume rendering; Task (project management); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006087007,0.001044657,0.0005717278,0.0005163163,0.000203949,0.000720633,0.001000753,0.0005254205,0.005460443],"category_scores_gemma":[0.002066458,0.0003514924,0.0005426774,0.000396647,0.0002527457,0.0005690573,0.0008463471,0.0003288535,0.000848105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601291,"about_ca_system_score_gemma":0.0002042448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00117218,"about_ca_topic_score_gemma":0.00105711,"domain_scores_codex":[0.9990246,0.0003479042,0.00004469917,0.0001137076,0.000351729,0.0001174022],"domain_scores_gemma":[0.9987481,0.0006819292,0.0000949062,0.0002206616,0.0001705591,0.00008386768],"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":[0.003619838,0.0006313733,0.003649416,0.0007921095,0.0001765747,0.0009727989,0.001341741,0.01096552,0.717162,0.001467713,0.004021371,0.2551997],"study_design_scores_gemma":[0.001279098,0.0177345,0.07515099,0.0001647019,0.0005449009,0.007379403,0.0007296517,0.1647035,0.6805011,0.0007163069,0.05055263,0.0005431502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6080768,0.0008530529,0.3742603,0.0001261776,0.0001352074,0.0005145512,0.0005879083,0.009814248,0.005631782],"genre_scores_gemma":[0.7899567,0.0005248875,0.2035938,0.00009687319,0.00005428619,0.0003360475,0.0005461494,0.0005638933,0.004327393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005460443,"threshold_uncertainty_score":0.01826698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02732651498090776,"score_gpt":0.3135927773763946,"score_spread":0.2862662623954868,"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."}}