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Usability and Acceptance of a Mobile and Cloud-Based Platform for Supporting Diabetes Self-management

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Ubiquitous Computing and Ambient Intelligence (UCAmI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10586))

Abstract

Millions of people are suffering from Diabetes Mellitus today. This amount is expected to increase over the next few years due to multiple factors, not only genetic ones, but also because of our sedentary lifestyle according to the World Health Organization.

This work presents a cloud-based system which consists of a web platform, a mobile application and a set of services to facilitate a centralised study of the most relevant parameters involved in diabetes self-care. The system was evaluated by a group of diabetic patients in which 75% of them showed their satisfaction using this system for diabetes self-control. Also, the acceptance level between user and system was studied by means of an usability analysis focused on several evaluation techniques.

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Notes

  1. 1.

    https://oauth.net

  2. 2.

    https://developers.google.com/fit/.

  3. 3.

    https://www.mongodb.com/.

  4. 4.

    https://emberjs.com/.

  5. 5.

    https://docs.google.com/forms/.

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Acknowledgments

This work has been funded by MAPFRE Foundation and supported by the Plan Propio de Investigación program of Castilla-La Mancha University. Authors gratefully acknowledge the participation and collaboration of the whole group of diabetic users in the evaluation process.

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Correspondence to Jesús Fontecha .

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Fontecha, J., González, I., Saucedo, M.E., Sánchez, M.J., Bravo, J. (2017). Usability and Acceptance of a Mobile and Cloud-Based Platform for Supporting Diabetes Self-management. In: Ochoa, S., Singh, P., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science(), vol 10586. Springer, Cham. https://doi.org/10.1007/978-3-319-67585-5_24

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  • DOI: https://doi.org/10.1007/978-3-319-67585-5_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67584-8

  • Online ISBN: 978-3-319-67585-5

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