Colloquium:Rethinking the Quantified Self: Designing Systems to make Personal Data Engaging and Useful
Abstract: 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 behavior change. But although self quantification is now 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 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.