{"id":"W3186089682","doi":"10.1145/3469595.3469603","title":"VUI Influencers: How the Media Portrays Voice User Interfaces for Older Adults","year":2021,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sociotechnical system; Influencer marketing; Usability; Thematic analysis; Focus (optics); Computer science; Social media; Multimedia; World Wide Web; Sociology; Human–computer interaction; Knowledge management; Qualitative research; Business; Marketing","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":[0.0004512317,0.0001415507,0.0001653482,0.00005010456,0.0004564457,0.0001616124,0.0006301908,0.0002308857,0.0003586999],"category_scores_gemma":[0.001674865,0.00009930017,0.00008667658,0.0004230145,0.0005229995,0.0003759079,0.0001187881,0.0002001702,0.00006309419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000577405,"about_ca_system_score_gemma":0.0002587356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007616066,"about_ca_topic_score_gemma":0.0381722,"domain_scores_codex":[0.998532,0.0001032476,0.0001763024,0.0003846626,0.0003395968,0.0004641804],"domain_scores_gemma":[0.9984686,0.0006178764,0.00008800779,0.0003891307,0.0003466021,0.00008975335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001219042,0.0004219732,0.04912384,0.0001333145,0.0003702457,0.00008057179,0.3404431,0.000008891738,0.001444321,0.1417745,0.3086771,0.1574002],"study_design_scores_gemma":[0.001801762,0.00006045656,0.04945606,0.0002065384,0.00008145728,0.00001124541,0.3159477,0.00005108055,0.02918987,0.005363479,0.5972215,0.0006089335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8961323,0.0005668915,0.0009774579,0.09074413,0.0009109294,0.0007662294,0.00002154226,0.0005675952,0.009312918],"genre_scores_gemma":[0.9908094,0.000122111,0.001827075,0.001397297,0.0002022485,0.0001048696,0.00000641981,0.00001643083,0.005514127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2885444,"threshold_uncertainty_score":0.9793786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865727582878092,"score_gpt":0.2816959778471468,"score_spread":0.2630387020183659,"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."}}