{"id":"W4388248474","doi":"10.1016/j.heliyon.2023.e21932","title":"Older adults’ intention to use voice assistants: Usability and emotional needs","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Inland Fisheries Ireland; Canada Foundation for Innovation","keywords":"Usability; Psychology; Novelty; Structural equation modeling; Population; Applied psychology; Sample (material); Social psychology; Medicine; Computer science; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001661738,0.0001859117,0.0003069996,0.0005692822,0.0003553358,0.001119219,0.0001856294,0.0005089908,0.00135715],"category_scores_gemma":[0.008147219,0.000168684,0.0005638548,0.000319682,0.0002910935,0.0007148826,0.000592151,0.0005485002,0.0002049643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002475872,"about_ca_system_score_gemma":0.0003395459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00243219,"about_ca_topic_score_gemma":0.00429852,"domain_scores_codex":[0.9994071,0.0001701474,0.0001084937,0.00005259542,0.0001859694,0.00007569257],"domain_scores_gemma":[0.9956648,0.001614531,0.00125475,0.0001521821,0.000859421,0.0004544172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001007219,0.0003540121,0.962415,0.0001514825,0.00008179967,0.0001310646,0.01232754,0.0000530641,0.0007322448,0.0001001976,0.000247914,0.02330506],"study_design_scores_gemma":[0.000005951336,0.0003377689,0.9870723,0.00004940557,0.00007142145,0.000129512,0.01113986,0.0003488911,0.00017686,0.00008741814,0.0005686603,0.00001184376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990562,0.0001284226,0.00008761059,0.00006903568,0.000003793708,0.0000125897,0.00002847464,0.000002054303,0.0006118118],"genre_scores_gemma":[0.9993336,0.0001373143,0.0001659751,0.00005361487,0.0000048669,0.00001586679,0.00004537806,8.511187e-7,0.000242497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00243219,"threshold_uncertainty_score":0.008788168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254057303440951,"score_gpt":0.2960268242104581,"score_spread":0.270621093866363,"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."}}