{"id":"W4392096414","doi":"10.1167/jov.24.2.9","title":"Comparing eye–hand coordination between controller-mediated virtual reality, and a real-world object interaction task","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Glenrose Rehabilitation Hospital; Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; TD Bank","keywords":"Headset; Eye–hand coordination; Virtual reality; Computer science; Fixation (population genetics); Gaze; Task (project management); Haptic technology; Human–computer interaction; Eye movement; Eye tracking; Avatar; Object (grammar); Computer vision; Artificial intelligence; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006813889,0.0004650437,0.00040463,0.0005021538,0.0001664104,0.0006505303,0.000441906,0.0006797836,0.002250894],"category_scores_gemma":[0.007349231,0.0002175898,0.0002914554,0.0002280063,0.0003330818,0.0006313088,0.0007986839,0.0003613602,0.0002805312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348569,"about_ca_system_score_gemma":0.0002368842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002622049,"about_ca_topic_score_gemma":0.003389898,"domain_scores_codex":[0.999121,0.0002170651,0.0001284831,0.0002436946,0.0001723224,0.0001174293],"domain_scores_gemma":[0.9972874,0.001535056,0.0004455279,0.0002474258,0.0002664101,0.0002181044],"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":[0.01773351,0.003573055,0.07262371,0.001831361,0.0007785916,0.0009906936,0.009270943,0.005827051,0.7691804,0.0006519615,0.001663172,0.1158755],"study_design_scores_gemma":[0.0007667184,0.00903058,0.9480771,0.00005321938,0.0002648339,0.0008163146,0.0020168,0.007780378,0.02871235,0.0004956697,0.001860664,0.0001252844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997858,0.00007395935,0.001018439,0.00001123628,0.00001087918,0.00003767225,0.000146496,0.00002847632,0.0008149437],"genre_scores_gemma":[0.9968194,0.00005589719,0.001810705,0.00002852453,0.00001048252,0.0001523602,0.0004390501,0.00002134373,0.0006621981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002622049,"threshold_uncertainty_score":0.007529914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07274058472699839,"score_gpt":0.395730715503868,"score_spread":0.3229901307768696,"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."}}