{"id":"W2994447906","doi":"10.1145/3364641.3364669","title":"Towards an Integrated Evaluation of Usability, User Experience and Accessibility in Assistive Technologies","year":2019,"lang":"en","type":"article","venue":"","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Computer science; Usability goals; Usability engineering; Web usability; Human–computer interaction; Cognitive walkthrough; Usability inspection; Heuristic evaluation; Usability lab; System usability scale","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03113913,0.0006845474,0.0008245285,0.004128614,0.0008835471,0.003676184,0.0007948481,0.0006812169,0.002071909],"category_scores_gemma":[0.03145237,0.0002594762,0.0006986464,0.002466334,0.001321453,0.002124482,0.00195875,0.0006722321,0.0003217508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003234653,"about_ca_system_score_gemma":0.003724901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01780398,"about_ca_topic_score_gemma":0.01932267,"domain_scores_codex":[0.9556928,0.02907278,0.002247764,0.001018207,0.01126256,0.0007059306],"domain_scores_gemma":[0.9552437,0.0194642,0.002502342,0.001141161,0.02060226,0.001046335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001740089,0.002642463,0.1853445,0.005577592,0.0004981293,0.0003755189,0.03641123,0.00346293,0.03535869,0.01383069,0.003865095,0.7108932],"study_design_scores_gemma":[0.0002133658,0.007117374,0.8434361,0.003547054,0.0007134713,0.000671809,0.04353919,0.03421842,0.02327971,0.007893887,0.03506471,0.0003050037],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7904198,0.004360003,0.1485935,0.0007928654,0.0001122734,0.005050664,0.0005056848,0.0004735806,0.04969152],"genre_scores_gemma":[0.8964873,0.0008261658,0.09668124,0.0001230369,0.00002441542,0.001900635,0.0003624898,0.00004973293,0.003545115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03113913,"threshold_uncertainty_score":0.1646814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1616715326908024,"score_gpt":0.5114355153912097,"score_spread":0.3497639827004072,"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."}}