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 language | English |
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Title of host publication | New frontiers of Quantified Self Workshop at Ubicomp/ISWC 2015 |
Publication status | Published - 7 Sept 2015 |
Event | Ubicomp/ISWC 2015 - Osaka, Japan Duration: 7 Sept 2015 → 11 Sept 2015 |
Conference
Conference | Ubicomp/ISWC 2015 |
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Country/Territory | Japan |
City | Osaka |
Period | 7/09/15 → 11/09/15 |