{"id":"W4400933158","doi":"10.1093/iwc/iwae030","title":"User Engagement in an Online Digital Health Intervention to Promote Problem Solving","year":2024,"lang":"en","type":"article","venue":"Interacting with Computers","topic":"Persona Design and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute on Aging; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; University of Washington","keywords":"Thematic analysis; User engagement; Psychological intervention; Intervention (counseling); Digital health; Computer science; Focus group; End user; Psychology; Applied psychology; Human–computer interaction; Medicine; Qualitative research; Health care; Nursing; World Wide Web","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":[0.006585618,0.0005704747,0.0003543745,0.0006893809,0.001146971,0.001401206,0.0007917631,0.0005994053,0.005298069],"category_scores_gemma":[0.01643232,0.0002756502,0.0005364415,0.0003178789,0.0008256012,0.00126558,0.002898848,0.0008386484,0.0006287184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000787693,"about_ca_system_score_gemma":0.001240154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002910141,"about_ca_topic_score_gemma":0.0007869003,"domain_scores_codex":[0.9946721,0.00386972,0.0002294866,0.0004521611,0.0004391595,0.0003373199],"domain_scores_gemma":[0.991565,0.006178901,0.0005091879,0.00070577,0.0003150011,0.0007261583],"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":[0.001617394,0.0278355,0.02613118,0.001600986,0.0001333699,0.0002942097,0.06450334,0.001217818,0.01490092,0.003518084,0.003455465,0.8547918],"study_design_scores_gemma":[0.007663384,0.145338,0.3360552,0.003773605,0.001474972,0.002362551,0.1048231,0.02749999,0.08110408,0.03223618,0.2570791,0.0005899821],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468965,0.0001388838,0.03315665,0.0006935459,0.00006843772,0.004034606,0.00009615463,0.0005945099,0.01432086],"genre_scores_gemma":[0.8907485,0.0001691327,0.09854366,0.0003801394,0.00004262753,0.006507985,0.0001292176,0.00005791093,0.003420878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006585618,"threshold_uncertainty_score":0.03482848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04271596707906498,"score_gpt":0.3283024447360657,"score_spread":0.2855864776570007,"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."}}