Combining multivariate statistics and the think-aloud protocol to assess Human-Computer Interaction barriers in symptom checkers

• Published in: Journal of Biomedical Informatics
• Main Authors: Marco-Ruiz, Luis, Bones, Erlend, de la Asuncion, Estela, Gabarron, Elia, Aviles-Solis, Juan Carlos, Lee, Eunji, Traver Salcedo, Vicente, Sato, Keiichi, Bellika, Johan G.
• Other Authors: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Helse Nord RHF, Research Council of Norway, UiT The Arctic University of Norway
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2017
• Subjects: Human computer interaction; Usability testing; Clinical decision support systems; Symptom checkers; TECNOLOGIA ELECTRONICA; Arctic; Norway; Romero; Arctic University of Norway; UiT The Arctic University of Norway
• Online Access: http://hdl.handle.net/10251/152267; https://doi.org/10.1016/j.jbi.2017.09.002

[EN] Symptom checkers are software tools that allow users to submit a set of symptoms and receive advice related to them in the form of a diagnosis list, health information or triage. The heterogeneity of their potential users and the number of different components in their user interfaces can make...