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Rethinking the Quantified Self to make personal data engaging and useful

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The Quantified Self (QS) vision argues for collecting and analyzing rich collections of personal data. According to the vision, such personal data facilitate greater self-insight promoting behaviour change. But although self quantification is common, quantified self technologies show poor rates of adoption. This talk explores reasons for this failure. I will revisit the QS vision, identifying its flaws, arguing that it is overly analytic, overly rational and overly authoritative. I will present deployments of three new QS systems that address these problems proposing a new design approach to personal data systems.

This talk is part of the Microsoft Research Cambridge, public talks series.

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