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A taxonomy for visualisations of personal physical activity data on self-tracking devices and their applications

Research output: Contribution to conference typesPaperpeer-review

Majedah Alrehiely, Parisa Eslambolchilar, Rita Borgo

Original languageEnglish
Published1 Jan 2018
Event32nd International BCS Human Computer Interaction Conference, HCI 2018 - Belfast, United Kingdom
Duration: 4 Jul 20186 Jul 2018


Conference32nd International BCS Human Computer Interaction Conference, HCI 2018
CountryUnited Kingdom

King's Authors


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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