Exploring Correlational Information in Aggregated Quantified Self Data Dashboards

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Abstract

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

Conference

ConferenceUbicomp/ISWC 2015
CountryJapan
CityOsaka
Period7/09/1511/09/15

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Jones, S. (2015). Exploring Correlational Information in Aggregated Quantified Self Data Dashboards. In New frontiers of Quantified Self Workshop at Ubicomp/ISWC 2015