{"id":"W4396813795","doi":"10.1145/3643834.3661544","title":"Motivating Users to Attend to Privacy: A Theory-Driven Design Study","year":2024,"lang":"en","type":"article","venue":"Designing Interactive Systems Conference","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Canada Research Chairs","keywords":"Computer science; Internet privacy; Raising (metalworking); Communication design; Information privacy; Presentation (obstetrics); Human–computer interaction; Multimedia; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003246227,0.0002871662,0.0003602558,0.0004223546,0.0006566963,0.001539797,0.0009853184,0.0001055591,0.0001079535],"category_scores_gemma":[0.004681535,0.000275167,0.00006923465,0.0008539359,0.00007364349,0.001007794,0.0004228833,0.0004221462,0.0006499669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005230777,"about_ca_system_score_gemma":0.0004073452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003921106,"about_ca_topic_score_gemma":0.0002622027,"domain_scores_codex":[0.9949015,0.002669083,0.0004325066,0.0008302724,0.000606475,0.0005601012],"domain_scores_gemma":[0.9970708,0.001593999,0.0001244877,0.0004901589,0.0003932633,0.0003272546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005120198,0.0003894241,0.004266313,0.0001881882,0.0005658831,0.0002139517,0.8753152,0.001593343,0.03675107,0.05111525,0.01109554,0.0179938],"study_design_scores_gemma":[0.001762335,0.005722543,0.00784542,0.01071708,0.0004021479,0.00005754605,0.8176346,0.03390144,0.01260492,0.01425597,0.09091403,0.004181935],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.076101,0.00005956561,0.9124472,0.0007527215,0.002497507,0.003916885,0.00002306818,0.0005034328,0.00369863],"genre_scores_gemma":[0.9941225,0.000003224253,0.003753671,0.0001085109,0.000420917,0.0006255856,0.000003841526,0.00003903657,0.0009226797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9180216,"threshold_uncertainty_score":0.9999701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09359235312463812,"score_gpt":0.3614168982556961,"score_spread":0.267824545131058,"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."}}