Publication:
Designing for data sensemaking practices: a complex challenge

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Karahanoǧlu, Armaǧan

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en

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Abstract

The framework we presented here is a way to explain how self-trackers make sense of their data, translating them from numbers into meaningful insights. Understanding the data sensemaking process, however, is only the first step in designing for data sensemaking. Developing a new generation of tools that support individuals’ sensemaking practices is a significant challenge.

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Interactions (N.Y.)

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Association for Computing Machinery

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Computer science, Information systems

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