{"id":"W4387968308","doi":"10.1145/3581783.3613810","title":"Understanding User Behavior in Volumetric Video Watching: Dataset, Analysis and Prediction","year":2023,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; McGill University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Viewport; Computer science; Interactivity; Voxel; Polygon mesh; Virtual reality; Multimedia; Human–computer interaction; Artificial intelligence; Computer graphics (images)","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":[0.0005458655,0.0009750795,0.0005582141,0.001708405,0.0002234526,0.0005575771,0.0005729926,0.0007019951,0.0006809426],"category_scores_gemma":[0.002882873,0.0001727484,0.0005354995,0.001199261,0.0002777088,0.0006172413,0.0007109623,0.0006603559,0.0009310818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003271084,"about_ca_system_score_gemma":0.0002897219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009985135,"about_ca_topic_score_gemma":0.01466588,"domain_scores_codex":[0.9994346,0.00008157239,0.00005252675,0.0001612562,0.0001790887,0.00009091384],"domain_scores_gemma":[0.9987239,0.000427807,0.0001648394,0.0002402699,0.0002976624,0.0001454511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002852872,0.002152637,0.4600724,0.002044076,0.0005306454,0.001544007,0.001669821,0.0284656,0.04393822,0.001175142,0.0628222,0.3927324],"study_design_scores_gemma":[0.00008791524,0.001168126,0.6140161,0.0001901978,0.0002599497,0.003118226,0.001525618,0.3390804,0.01970215,0.001981753,0.01867345,0.0001961292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9076379,0.00201865,0.02501457,0.0003514169,0.0001379652,0.0003152387,0.05803198,0.003479364,0.003013018],"genre_scores_gemma":[0.8664575,0.0008426143,0.0210076,0.0001383704,0.00007124415,0.0002876602,0.1093077,0.0001485799,0.001738725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009985135,"threshold_uncertainty_score":0.01985407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1439622971202519,"score_gpt":0.3474863571529284,"score_spread":0.2035240600326765,"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."}}