{"id":"W4415250589","doi":"10.1145/3757619","title":"Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"National Institute of Mental Health; Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Mindfulness; Behavior change; Coaching; Bridge (graph theory); Health coaching; Social support","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002250494,0.0007893532,0.0004350724,0.0005217061,0.0004349343,0.001264303,0.0009449021,0.0008536694,0.005565803],"category_scores_gemma":[0.0105675,0.0002865949,0.0006515274,0.0002838276,0.0004893132,0.001106282,0.001712113,0.0009005342,0.0006723861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000621906,"about_ca_system_score_gemma":0.0007814506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001536272,"about_ca_topic_score_gemma":0.002435073,"domain_scores_codex":[0.9989386,0.0007447572,0.0000474931,0.0001152732,0.000114117,0.0000397726],"domain_scores_gemma":[0.9954858,0.003714052,0.0002378051,0.0002351502,0.0001366136,0.0001905139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003230149,0.009215347,0.008805261,0.001879664,0.0003108326,0.0005160369,0.006552941,0.04585465,0.04854646,0.01027749,0.006498883,0.8583122],"study_design_scores_gemma":[0.003554319,0.01126133,0.0123581,0.00068485,0.001088971,0.0005077171,0.003379941,0.8373225,0.04169518,0.03417388,0.05364208,0.0003311781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3854754,0.001506388,0.5864879,0.002673273,0.000263471,0.00284285,0.0004686636,0.00997012,0.01031201],"genre_scores_gemma":[0.6589134,0.0004228663,0.3342684,0.0004098891,0.00003310018,0.002379415,0.0002278941,0.0002341591,0.003111006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005565803,"threshold_uncertainty_score":0.01861942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158381262978841,"score_gpt":0.4475353534415779,"score_spread":0.3316972271436938,"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."}}