{"id":"W4385722975","doi":"10.1080/10447318.2023.2241613","title":"Feeling Moodie: Insights from a Usability Evaluation to Improve the Design of mHealth Apps","year":2023,"lang":"en","type":"article","venue":"International Journal of Human-Computer Interaction","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Feeling; Mood; mHealth; Interactivity; Psychology; Usability; Applied psychology; Novelty; Attractiveness; User experience design; Human–computer interaction; Computer science; Social psychology; World Wide Web; Psychological intervention","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":[0.03819934,0.001054459,0.0008129951,0.001841133,0.00169898,0.003655909,0.00093869,0.001061944,0.0008055929],"category_scores_gemma":[0.06421723,0.0005054306,0.00088503,0.0006421584,0.001805875,0.002455944,0.002521747,0.0009723646,0.0002170815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297081,"about_ca_system_score_gemma":0.001634183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001111263,"about_ca_topic_score_gemma":0.003883699,"domain_scores_codex":[0.9680588,0.02402412,0.001763855,0.0008762888,0.004280367,0.0009966277],"domain_scores_gemma":[0.9383612,0.04923731,0.002224796,0.001756466,0.007083384,0.001336758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001515331,0.002930499,0.05432433,0.006758725,0.0003168681,0.00166059,0.4982372,0.0009238073,0.04934216,0.002043995,0.006248191,0.3756982],"study_design_scores_gemma":[0.001251641,0.04241621,0.2678414,0.008878633,0.002173235,0.008203293,0.4404961,0.01534349,0.06803563,0.004643441,0.1393625,0.001354328],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96616,0.001251617,0.02365435,0.0009126361,0.0001080325,0.001472834,0.0001254599,0.0002071048,0.006107928],"genre_scores_gemma":[0.9406908,0.0008246614,0.05354658,0.000746574,0.00005159117,0.001530882,0.0001659877,0.0001905495,0.002252372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03819934,"threshold_uncertainty_score":0.2020199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287651701722893,"score_gpt":0.4702424926367567,"score_spread":0.3414773224644674,"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."}}