eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers

Research Article

Questioning the Reflection Paradigm for Diabetes Mobile Apps

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  • @INPROCEEDINGS{10.1007/978-3-319-49655-9_39,
        author={Dmitri Katz and Nick Dalton and Simon Holland and Aisling O’Kane and Blaine Price},
        title={Questioning the Reflection Paradigm for Diabetes Mobile Apps},
        proceedings={eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers},
        proceedings_a={EHEALTH360},
        year={2017},
        month={1},
        keywords={User Interface (UI) Diabetes apps mHealth},
        doi={10.1007/978-3-319-49655-9_39}
    }
    
  • Dmitri Katz
    Nick Dalton
    Simon Holland
    Aisling O’Kane
    Blaine Price
    Year: 2017
    Questioning the Reflection Paradigm for Diabetes Mobile Apps
    EHEALTH360
    Springer
    DOI: 10.1007/978-3-319-49655-9_39
Dmitri Katz1,*, Nick Dalton2,*, Simon Holland1,*, Aisling O’Kane3,*, Blaine Price1,*
  • 1: Open University
  • 2: Northumbria University
  • 3: University College London
*Contact email: dmitrikatz23@gmail.com, nick.dalton@northumbria.ac.uk, simon.holland@open.ac.uk, a.okane@cs.ucl.ac.uk, b.a.price@open.ac.uk

Abstract

Hundreds of diabetes self-management apps are available for smart phones, typically using a diary or logging methodology. This paper investigates how well such approaches help participants to make sense of collected data. We found that, while such systems typically support data and trend review, they are ill suited to helping users understand complex correlations in the data. The cognitively demanding user interfaces (UI’s) of these apps are poorly adapted both to the restricted real estate of smartphone displays and to the daily needs of users. Many participants expressed the desire for intelligent, personalized and contextually aware near-term advice. By contrast, users did not see tools for reflection on prior data and behavior, seen as indispensable by many researchers, as a priority. We argue that while designers of future mobile health (mHealth) systems need to take advantage of automation through connected sensors, and the increasing subtlety of intelligent processing, it is also necessary to evolve current graphs and dashboards UI paradigms to assist users in long-term self-management health practices.