{"id":"W4414593552","doi":"10.1145/3757612","title":"Immersive Invaders: Privacy Threats from Deceptive Design in Virtual Reality Games and Applications","year":2025,"lang":"en","type":"preprint","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Virtual reality; Thematic analysis; Comprehension; Information privacy; Privacy software; Privacy by Design","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02063202,0.0009924581,0.0003835985,0.0009160823,0.003375489,0.007646873,0.001444151,0.001847688,0.00243466],"category_scores_gemma":[0.08088689,0.0006151139,0.0006355685,0.0004463235,0.007478068,0.007609912,0.006773022,0.003445197,0.0003332642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182322,"about_ca_system_score_gemma":0.001153168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007821281,"about_ca_topic_score_gemma":0.001091179,"domain_scores_codex":[0.9396749,0.0525699,0.001081894,0.001349202,0.004366809,0.00095735],"domain_scores_gemma":[0.9180048,0.0618148,0.006316819,0.009658406,0.003214594,0.0009905689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005693691,0.0005314134,0.02866997,0.00112411,0.0001795993,0.001359797,0.691203,0.002246838,0.009606066,0.1173443,0.004405681,0.14276],"study_design_scores_gemma":[0.0002506144,0.003023122,0.04104799,0.004063218,0.00052427,0.01134185,0.4234111,0.02910254,0.02865302,0.1596242,0.2983042,0.0006539192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8041704,0.001692161,0.1511263,0.004224481,0.0001655998,0.0003575135,0.00007111276,0.000349301,0.03784313],"genre_scores_gemma":[0.9825802,0.0002931364,0.01399579,0.0005602477,0.00002470551,0.0001435802,0.00003046284,0.00008050443,0.00229122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02063202,"threshold_uncertainty_score":0.1091139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1460203548283304,"score_gpt":0.4120757537259391,"score_spread":0.2660553988976087,"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."}}