The quantified self

Abstract

Over the course of this decade, both mobile devices and mobile device applications designed for the express purpose of tracking physiological and cognitive performance metrics are nearly ubiquitous in our everyday endeavors. Though the idea of tracking our own various daily metrics is nothing new, the advent of technological innovations that carry the capacity to store, sort and share these ever-accruing amounts of data presents to us unchartered territory regarding our relationship to and understanding and interpretation of these metrics both singularly (as snapshots) and in the aggregate (over time). This work explores the form and function of the Quantified Self Movement. It discusses the current state of analyzing and interpreting information accrued from various metrics, specifically the issues that arise in synchronizing heterogeneous metrics, and in the context of an AugCog framework, proposes a method of approach to analyze multivariate data by curation based on the simultaneity of measured events.