{"id":"W4416183459","doi":"10.1109/ismar67309.2025.00062","title":"Don't Miss Notifications: Exploring Gaze Notifications for Virtual Reality Cooking Environment","year":2025,"lang":"","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Workflow; Cognitive load; Virtual reality; Interrupt; Cognition; Gaze; Eye tracking; Visualization","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003849854,0.0004464663,0.0005065438,0.0009454704,0.001693123,0.001408862,0.001646599,0.0001835435,0.004347735],"category_scores_gemma":[0.0009348182,0.0004246497,0.0004388974,0.001329255,0.0003137197,0.002382274,0.0004236739,0.0002619785,0.001270444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003626104,"about_ca_system_score_gemma":0.0002268246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000719008,"about_ca_topic_score_gemma":0.00004961445,"domain_scores_codex":[0.9942805,0.0001757353,0.00237614,0.001121069,0.001382137,0.0006643921],"domain_scores_gemma":[0.9951326,0.001773905,0.0006122022,0.001780446,0.0004557394,0.000245053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002023007,0.001018238,0.003399943,0.0001147195,0.0002214429,0.000001486119,0.004358675,0.008640893,0.001628113,0.4682532,0.1397717,0.3723893],"study_design_scores_gemma":[0.0011568,0.00008782337,0.03284471,0.0001333898,0.0003226627,6.457976e-7,0.02060123,0.05608224,0.00227884,0.003622073,0.8821858,0.0006838074],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0289089,0.0002999104,0.9146267,0.02157005,0.002994459,0.003110097,0.0004233313,0.0002055741,0.02786095],"genre_scores_gemma":[0.8660954,0.0005225674,0.004611368,0.001315098,0.0001668553,0.001649534,0.0002035614,0.00002626254,0.1254094],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9100153,"threshold_uncertainty_score":0.9998205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5324869040144955,"score_gpt":0.4521866693919005,"score_spread":0.080300234622595,"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."}}