{"id":"W4226069103","doi":"","title":"Multisensory Proximity and Transition Cues for Improving Target Awareness in Narrow Field of View Augmented Reality Displays","year":2021,"lang":"en","type":"article","venue":"Alexandria (UniSG) (University of St.Gallen)","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Augmented reality; Computer science; Sensory cue; Context (archaeology); Clutter; Human–computer interaction; Field (mathematics); Computer vision; Task (project management); Virtual reality; Transition (genetics); Object (grammar); Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00009389775,0.000139182,0.0003351347,0.000138578,0.0002433078,0.00001351134,0.0001511581,0.0001196344,0.0001979883],"category_scores_gemma":[0.0001754912,0.000174805,0.0001232483,0.0002320512,0.0001327346,0.0007174131,0.00006060317,0.000167068,0.000001203266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004053181,"about_ca_system_score_gemma":0.00009073388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009692282,"about_ca_topic_score_gemma":0.002832078,"domain_scores_codex":[0.9988195,0.0001655636,0.0002036328,0.0004279198,0.0001755198,0.0002078197],"domain_scores_gemma":[0.9989327,0.0004225908,0.0001794815,0.0002487616,0.0001406304,0.00007580346],"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":[0.0008989924,0.0007371446,0.001735367,0.001065521,0.00004527386,0.0001319382,0.006947398,0.0002196177,0.9800462,0.00235845,0.0004401381,0.005373927],"study_design_scores_gemma":[0.009590063,0.001021899,0.03676173,0.0007339985,0.0003256607,0.0001316443,0.02947393,0.05224625,0.8583764,0.002075637,0.008139021,0.001123715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895405,0.000060941,0.007033304,0.001754666,0.0001600919,0.0003895389,0.0003672108,0.00003105344,0.0006627129],"genre_scores_gemma":[0.9978933,0.0002051489,0.001174484,0.0000942121,0.0000156896,0.000001929151,0.000039173,0.00000980267,0.0005662458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1216698,"threshold_uncertainty_score":0.7128342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061084069002178,"score_gpt":0.274201551640902,"score_spread":0.2335907109508802,"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."}}