mHealth through quantified-self : a user study
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We describe a user study of a mHealth prototype system based on a wellbeing scenario, exploiting the quantified-self approach to measurement and monitoring. We have used off-the-shelf equipment, with opensource, web-based, software, and exploiting the increasing popularity of smartphones and self-measurement devices in a user study. We emulate a mHealth scenario as a pre-clinical experiment, as a realistic alternative to a clinical scenario, with reduced risk to sensitive patient medical data. We discuss the efficacy of this approach for future mHealth systems for remote monitoring. Our system used the popular Fitbit device for monitoring personal wellbeing data, the Diaspora online social media platform (OSMP), and a simple Android/iOS remote notification application. We implemented remote monitoring, asynchronous user interaction, multiple actors, and user-controlled security and privacy mechanisms. We propose that the use of a quantified-self approach to mHealth is particularly valuable to undertake research and systems development.
Khorakhun , C & Bhatti , S N 2015 , mHealth through quantified-self : a user study . in 2015 17th International Conference on E-health Networking, Application & Services (HealthCom) . IEEE , pp. 329-335 , 17th International Conference on E-health Networking, Application & Services (HealthCom) , Boston , United States , 13-17 October . DOI: 10.1109/HealthCom.2015.7454520conference
2015 17th International Conference on E-health Networking, Application & Services (HealthCom)
© 2015, IEEE. This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at ieeexplore.ieee.org / https://dx.doi.org/10.1109/HealthCom.2015.7454520
This work was partly supported by the IU-ATC project, funded by grant EP/J016756/1 from the Engineering and Physical Sciences Research Council (EPSRC). Chonlatee Khorakhun is funded by the Scottish Informatics and Computer Science Alliance (SICSA).
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