{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006939922,0.00008037435,0.0001366668,0.001126503,0.00009733414,0.000245985,0.0002476273,0.00003682517,0.00002201946],"category_scores_gemma":[0.00003021312,0.00007376109,0.00003715975,0.004611616,0.00001725591,0.0008598633,0.0002769793,0.00009177886,0.0000235772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093101,"about_ca_system_score_gemma":0.00002160869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005687397,"about_ca_topic_score_gemma":0.0004982768,"domain_scores_codex":[0.9988893,0.00007612836,0.0002157194,0.0003446863,0.0002631454,0.0002110805],"domain_scores_gemma":[0.9994137,0.0001236113,0.00003740502,0.0003523158,0.00001294474,0.00006000877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005671925,0.0001586072,0.9451047,0.00002735832,0.000163958,0.0001190657,0.0009889556,0.0004774655,0.0003744811,0.02094655,0.02365906,0.007974087],"study_design_scores_gemma":[0.0003150096,0.00004850826,0.7334783,0.000005505216,0.0001130885,0.000003036979,0.0004439465,0.2631988,0.0001610732,0.001003539,0.001072694,0.0001564728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05980613,0.00001328278,0.9389346,0.0006490073,0.00009532504,0.0001155465,0.00004850216,0.0001674467,0.0001701559],"genre_scores_gemma":[0.9936419,0.00003499102,0.005542746,0.0001794528,0.00001585021,0.00001807502,0.0002122148,0.000004165299,0.000350679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9338357,"threshold_uncertainty_score":0.300789,"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."}}