{"id":"W2618818671","doi":"10.2196/mhealth.7046","title":"Human-Centered Design Study: Enhancing the Usability of a Mobile Phone App in an Integrated Falls Risk Detection System for Use by Older Adult Users","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Information and Communication Technologies","keywords":"Usability; User-centered design; Computer science; End user; Mobile phone; Context (archaeology); User interface; Heuristic evaluation; New product development; User experience design; Product (mathematics); Documentation; Usability engineering; User interface design; Human–computer interaction; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.02364731,0.0009461377,0.0009469976,0.001463858,0.002060949,0.002214312,0.001142152,0.001558523,0.002693136],"category_scores_gemma":[0.02472434,0.0005978927,0.0009209513,0.0006083982,0.00212605,0.001591492,0.001797376,0.001148573,0.0004240959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744861,"about_ca_system_score_gemma":0.004323376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008128661,"about_ca_topic_score_gemma":0.001866668,"domain_scores_codex":[0.9809417,0.01431561,0.001215691,0.001181153,0.001469084,0.0008767634],"domain_scores_gemma":[0.9666449,0.02357063,0.001540627,0.001713346,0.005358712,0.001171844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002477561,0.02890864,0.04563211,0.01149027,0.0003982356,0.00328173,0.587093,0.003774259,0.0487632,0.005441323,0.003536808,0.2592028],"study_design_scores_gemma":[0.005307612,0.2158132,0.172875,0.005339785,0.001504343,0.00552367,0.3763618,0.01732981,0.0960768,0.006005237,0.09722043,0.000642362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584265,0.0003180713,0.02788569,0.0002681649,0.00005169149,0.009412881,0.00008333848,0.00007843027,0.003475258],"genre_scores_gemma":[0.8769094,0.0005348643,0.1064008,0.000621491,0.00005522791,0.01251271,0.0001015035,0.00004389791,0.002820014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02364731,"threshold_uncertainty_score":0.1250604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06191748765296196,"score_gpt":0.3905502678184431,"score_spread":0.3286327801654811,"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."}}