Exploring Correlational Information in Aggregated Quantified Self Data Dashboards

Simon Jones

Research output: Chapter in Book/Report/Conference proceedingChapter in a published conference proceeding

6 Citations (SciVal)
160 Downloads (Pure)


Data aggregation platforms are often depicted as a panacea for users wanting to examine correlations within the multi-faceted data that they collect. In this paper we describe inherent challenges with the provision of multi-faceted, correlational information in data aggregation tools, and present a set of hypotheses related to these challenges. We point to design considerations for improving such tools and describe an on-going study of one such tool, Exist.io, in which we aim to explore the issues discussed.
Original languageEnglish
Title of host publicationNew frontiers of Quantified Self Workshop at Ubicomp/ISWC 2015
Publication statusPublished - 7 Sep 2015
EventUbicomp/ISWC 2015 - Osaka, Japan
Duration: 7 Sep 201511 Sep 2015


ConferenceUbicomp/ISWC 2015


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