{"id":"W4404314831","doi":"10.1145/3678884.3681897","title":"From Prompt to Metaverse: User Perceptions of Personalized Spaces Crafted by Generative AI","year":2024,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Generative grammar; Computer science; Metaverse; Perception; Human–computer interaction; World Wide Web; Artificial intelligence; Virtual reality; Psychology","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":[0.0001038376,0.0001044752,0.0001450291,0.00008588672,0.00006382204,0.0002926946,0.0003475709,0.00004010648,0.000785716],"category_scores_gemma":[0.00002545121,0.00008052421,0.00006865438,0.0005546214,0.00004459903,0.0004337321,0.0001149878,0.00007225326,0.0003404223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003934257,"about_ca_system_score_gemma":0.0000913021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009004398,"about_ca_topic_score_gemma":0.00005779332,"domain_scores_codex":[0.9990901,0.00004517729,0.0001565262,0.0003370932,0.0002247444,0.0001464058],"domain_scores_gemma":[0.9993383,0.00006656345,0.00001983649,0.0003483245,0.00008770206,0.0001393175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007317794,0.0001544507,0.00004702362,0.00001481362,0.0001586617,0.000002223018,0.01515897,0.00008976113,0.244562,0.1993846,0.530395,0.01002518],"study_design_scores_gemma":[0.0004541947,0.0003218902,0.00231278,0.00007643368,0.00007527156,0.000004971796,0.00239573,0.1220737,0.06021945,0.008514994,0.8029838,0.0005667845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08051754,0.0001239774,0.8993372,0.01804559,0.0000746607,0.0002489318,0.0001367495,0.0001525964,0.001362734],"genre_scores_gemma":[0.8655167,0.00003133918,0.1155187,0.002422206,0.00008308939,0.00009207721,0.00004612221,0.00001317576,0.01627661],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7849991,"threshold_uncertainty_score":0.8603039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827664774588388,"score_gpt":0.3091783961556876,"score_spread":0.2909017484098037,"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."}}