{"id":"W4394880928","doi":"10.1145/3659945","title":"Deceived by Immersion: A Systematic Analysis of Deceptive Design in Extended Reality","year":2024,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science; Thematic analysis; Human–computer interaction; Domain (mathematical analysis); Key (lock); Design elements and principles; Data science; Computer security; Qualitative research; Software engineering","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":[0.06323208,0.001036069,0.0029103,0.01507835,0.001476923,0.004729244,0.001835358,0.001568685,0.002947851],"category_scores_gemma":[0.2031689,0.001014397,0.002643254,0.01205787,0.003658948,0.007066187,0.004913153,0.002721024,0.0004581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005095649,"about_ca_system_score_gemma":0.01804279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004287695,"about_ca_topic_score_gemma":0.01108765,"domain_scores_codex":[0.9175979,0.05594549,0.01018384,0.002619381,0.01276486,0.0008884515],"domain_scores_gemma":[0.7455602,0.2063892,0.01800698,0.009202549,0.01998043,0.0008606632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000222782,0.0001709226,0.005986416,0.284649,0.002369395,0.000411417,0.05051017,0.0004710845,0.0004838739,0.01802612,0.006633057,0.6300656],"study_design_scores_gemma":[0.0001807098,0.000740374,0.01562929,0.7029225,0.00516569,0.001311327,0.04840018,0.0006940725,0.001320412,0.01332152,0.2101246,0.0001893194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03707001,0.9196379,0.02267812,0.003415577,0.0004692275,0.006984369,0.001011526,0.00007404706,0.008659172],"genre_scores_gemma":[0.248517,0.7029311,0.03215352,0.00285319,0.0002110786,0.01059405,0.00101202,0.0001294089,0.00159859],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06323208,"threshold_uncertainty_score":0.3344072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225441981751199,"score_gpt":0.392730314258338,"score_spread":0.2701861160832181,"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."}}