{"id":"W6926371595","doi":"10.20380/gi2022.23","title":"It's Over There: Designing an Intelligent Virtual Agent That Can Point Accurately into the Real World","year":2022,"lang":"en","type":"article","venue":"Canada Human-Computer Communications Society","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of British Columbia","funders":"","keywords":"Situated; Point (geometry); Perception; Dimension (graph theory); Gesture; Virtual world; Virtual reality","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":[0.00127713,0.000816379,0.0004072492,0.0002663511,0.0003984778,0.001492167,0.0008963224,0.0008602704,0.001954547],"category_scores_gemma":[0.003754543,0.0003651196,0.0003546226,0.0001322553,0.0006666223,0.001917213,0.001021636,0.0005832668,0.0007349877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304643,"about_ca_system_score_gemma":0.0004268413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006438537,"about_ca_topic_score_gemma":0.0007816524,"domain_scores_codex":[0.9993315,0.0002917725,0.00007420155,0.0001038455,0.0001376998,0.00006104643],"domain_scores_gemma":[0.9986411,0.0005592398,0.0001857838,0.0002085642,0.0002290213,0.0001762212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001077808,0.0005926003,0.0126682,0.001205465,0.0002448323,0.001016923,0.00632727,0.06603749,0.5712191,0.02279023,0.003847698,0.3129725],"study_design_scores_gemma":[0.0003454101,0.005410586,0.01991258,0.0004792935,0.0007251551,0.003376117,0.004282903,0.5676186,0.2535315,0.01676326,0.1270762,0.0004783614],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2436876,0.0002873593,0.7484066,0.0003165517,0.00008096804,0.0001937568,0.00004430949,0.001715504,0.005267435],"genre_scores_gemma":[0.5669377,0.0001776195,0.4298232,0.0001263805,0.00001302235,0.0001709629,0.00005577713,0.0001362295,0.002559101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001954547,"threshold_uncertainty_score":0.00675422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08054107852547202,"score_gpt":0.3209097898592336,"score_spread":0.2403687113337616,"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."}}