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      A Taxonomy for Visualisations of Personal Physical Activity Data on Self-Tracking Devices and their Applications

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

      Human Computer Interaction Conference

      4 - 6 July 2018

      Smartphone Apps, Wearable Devices, Health Tracking, Smartwatches Self-tracking, Personal Visualization

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Self-tracking devices and apps have been widely used for personal data collection, with particular focus on health and physical activity (PA) monitoring. Despite their pervasive use, data representation and data sharing on these devices and apps are still in their infancy. With the aim of contributing towards structuring the design space of personal health visualisation, we present an overview focused on visualisation methods and the typology of tracked data in the most popular health and PA tracking devices and their companion apps/dashboards. Our research method of data collection is based not only on a review of scientific literature in the field, but also on autoethnography, information collected from manufacturers' websites and user manuals as well as online communities and reviews. We then discuss the major issues and limitations users face with regards to health and PA data interpretation and sharing.

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          Most cited references 22

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          A stage-based model of personal informatics systems

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            Understanding quantified-selfers' practices in collecting and exploring personal data

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                Author and article information

                Contributors
                Conference
                July 2018
                July 2018
                : 1-15
                Affiliations
                [1 ] School of Computer Science and Informatics, Cardiff University, UK
                [2 ] Informatics Department

                Kings College London, UK
                10.14236/ewic/HCI2018.17
                © Alrehiely et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 32nd International BCS Human Computer Interaction Conference
                HCI
                32
                Belfast, UK
                4 - 6 July 2018
                Electronic Workshops in Computing (eWiC)
                Human Computer Interaction Conference
                Product
                Product Information: 1477-9358 BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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