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    Evaluating Different Visualization Designs for Personal Health Data

    HCI 2018

    Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)

    Belfast, UK, 4 - 6 July 2018

    AUTHORS

    Majedah Alrehiely, Parisa Eslambolchilar & Rita Borgo

    ABSTRACT

    http://dx.doi.org/10.14236/ewic/HCI2018.205

    With the massive development of sensing technology and the availability of self-tracking devices and apps; the interest in personal data collection has widely increased. However, the data representation methods on these tracking devices and apps have many limitations. Our research concentrates on evaluating different data visualization alternatives that could be used to represents the tracked physical activity data (e.g. step count and heart rate) with regards to users’ performance when solving visual tasks and their preferences in the proposed visualizations.

    PAPER FORMATS

    PDF filePDF Version of this Paper (337kb)