Expert evaluation and user testing for a proposed data visualization framework for chronic disease-related systems: A case study of type 2 diabetes.
DOI:
https://doi.org/10.47756/aihc.y10i1.196Keywords:
Data visualization, Diabetes, Chronic diseases, Medical devices, Patient monitoringAbstract
The health monitoring systems’ interfaces are usually complex due to the large amounts of data that these present, which can be difficult to understand for the final users; to contribute to a solution of the posed problem, in a previous study, a framework was proposed that was implemented in a navigable prototype directed at patients with type 2 diabetes. The objective of the present work was to perform an exploratory study of the framework proposal. The process of the study execution covered a content validation of the framework by three experts and a usability test of the navigable prototype. The participants of the test were five people with type 2 diabetes. The usability was tested through the SUS and CSUQ questionnaires, as well as direct observation. Results showed a high level of satisfaction, navigation, and data understanding. Nonetheless, there were identified areas of improvement regarding the interaction with devices and the history data representation. These findings constitute a solid base for future iterations and upgrades directed to a prototype resulting from the proposed framework, which facilitates the integration of dynamic functions and optimizes the user experience on health monitoring systems.
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References
R. Arriaga, EAI for Innovation. A, and Association for Computing Machinery, “Proceedings of the 14th eai international conference on pervasive computing technologies for healthcare: Pervasivehealth 2020,” 2020, 6-8 October 2020.
Y. Zhang, K. Chanana, and C. Dunne, “Idmvis: Temporal event sequence visualization for type 1 diabetes treatment decision support,” IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 1, pp. 512–522, 2018. DOI: https://doi.org/10.1109/TVCG.2018.2865076
Alarcón-Santos, E.-A., Montané-Jiménez, L. G., & Hernández-Calderón, J.-G. (2024). Integration of IoT and Data Visualization for Personalized Diabetes Management: A Technological Approach to Chronic Disease Care. Avances En Interacción Humano-Computadora, 9(1), 249–252. https://doi.org/10.47756/aihc.y9i1.178. DOI: https://doi.org/10.47756/aihc.y9i1.178
International Diabetes Federation, IDF Diabetes Atlas, 10th edn., Brussels, Belgium, 2021.
Cepero, T., Montané-Jiménez, L. G., & Maestre-Góngora, G. P. (2022). Data Visualization Guide for Smart City Technologies. In F. Ortiz-Rodríguez, S. Tiwari, M.-A. Sicilia, & A. Nikiforova (Eds.), Electronic Governance with Emerging Technologies (pp. 176–191). Springer Nature Switzerland. DOI: https://doi.org/10.1007/978-3-031-22950-3_14
Polit, D. F., Beck, C. T., y Owen, S. V. (2007). Is the cvi an acceptable indicator of content validity? appraisal and recommendations. Research in Nursing & Health, 30 (4), 459–467. doi: 10.1002/nur.20199 DOI: https://doi.org/10.1002/nur.20199
Escobar-Pérez, J., y Martínez, A. (2008, 01). Validez de contenido y juicio de expertos: Una aproximación a su utilización. Avances en Medición, 6 , 27-36.
García-Sedeño, M., y García-Tejera, M. C. (2013). Estimación de la validez de contenido en una escala de valoración del grado de violencia de género soportado en adolescentes. Acción Psicológica, 10 (2), x–xx. Descargado de http://dx.doi.org/10.5944/ap.10.2.11823 doi: 10.5944/ap.10.2.1182 DOI: https://doi.org/10.5944/ap.10.2.11823
Nielsen, J. (2024, 31 enero). How Many Test Users in a Usability Study? Nielsen Norman Group. https://www.nngroup.com/articles/how-many-test-users/
Hedlefs, Maria & Gonzalez, Arturo de la & Sánchez Miranda, Martha & Villegas, Andrea. (2016). Adaptación al español del Cuestionario de Usabilidad de Sistemas Informáticos CSUQ / Spanish language adaptation of the Computer Systems Usability Questionnaire CSUQ. RECI Revista Iberoamericana de las Ciencias Computacionales e Informática. 4. 84. 10.23913/reci.v4i8.35. DOI: https://doi.org/10.23913/reci.v4i8.35
Brooke, John. (1995). SUS: A quick and dirty usability scale. Usability Eval. Ind.. 189.
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