{"id":"W4366596349","doi":"10.1145/3544548.3581346","title":"Creepy Assistant: Development and Validation of a Scale to Measure the Perceived Creepiness of Voice Assistants","year":2023,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scale (ratio); Variety (cybernetics); Computer science; Measure (data warehouse); Human–computer interaction; Multimedia; Artificial intelligence; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01044052,0.0003896332,0.000363237,0.0017404,0.0008466077,0.001310137,0.001005172,0.0007729488,0.002110294],"category_scores_gemma":[0.03687042,0.0003720412,0.0008933176,0.0008607198,0.0007317519,0.001492771,0.001344744,0.001223706,0.0008249061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007670935,"about_ca_system_score_gemma":0.002553302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002073721,"about_ca_topic_score_gemma":0.003770742,"domain_scores_codex":[0.993156,0.002162348,0.001065006,0.0003247485,0.003054469,0.000237498],"domain_scores_gemma":[0.9652418,0.01344517,0.003262991,0.001949294,0.01460568,0.001495033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006949856,0.003162881,0.4247914,0.001262185,0.0002118037,0.0004667323,0.04300332,0.002125126,0.02477833,0.006146111,0.01148401,0.4818731],"study_design_scores_gemma":[0.0003511469,0.005443906,0.8739656,0.0007696439,0.0002063961,0.0009176434,0.03058728,0.01686309,0.013267,0.004182375,0.05314188,0.0003040346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231402,0.0002065198,0.04924515,0.0004517161,0.0001502845,0.00880282,0.0009503065,0.0004147667,0.01663822],"genre_scores_gemma":[0.8109962,0.0004045501,0.1684653,0.0003735384,0.00007027399,0.01394239,0.00123097,0.0001112691,0.00440549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01044052,"threshold_uncertainty_score":0.05521536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04107770934175813,"score_gpt":0.2853909742746195,"score_spread":0.2443132649328614,"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."}}