- -

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

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

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

Show full item record

Marco-Ruiz, L.; Bones, E.; De La Asuncion, E.; Gabarron, E.; Aviles-Solis, JC.; Lee, E.; Traver Salcedo, V.... (2017). Combining multivariate statistics and the think-aloud protocol to assess Human-Computer Interaction barriers in symptom checkers. Journal of Biomedical Informatics. 74:104-122. https://doi.org/10.1016/j.jbi.2017.09.002

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/152267

Files in this item

Item Metadata

Title: Combining multivariate statistics and the think-aloud protocol to assess Human-Computer Interaction barriers in symptom checkers
Author: 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.
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
[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 ...[+]
Subjects: Human computer interaction , Usability testing , Clinical decision support systems , Symptom checkers
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Journal of Biomedical Informatics. (issn: 1532-0464 )
DOI: 10.1016/j.jbi.2017.09.002
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.jbi.2017.09.002
Thanks:
This work was supported by Helse Nord [grant HST1121-13], the Faculty of Health Sciences from UIT The Arctic University of Norway [researcher code 1108], and The Research Council of Norway [grant 248150/O70]. We thank ...[+]
Type: Artículo

This item appears in the following Collection(s)

Show full item record