In this paper we propose an interactive visualization technique QS Spiral that aims to capture the periodic properties of quantified self data and let the user explore those recurring patterns. The approach is based on time-series data visualized as a spiral structure. The interactivity includes the possibility of varying the time span and the time frame shown, allowing for different levels of detail and the discoverability of repetitive patterns in the data on multiple scales. We illustrate the capabilities of the visualization technique using two quantified self data sets involving self-tracking of geolocation and physical activity respectively.
Proceedings of Chi 2013 Workshop on Personal Informatics in the Wild: Hacking Habits for Health & Happiness, 2013
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CHI 2013 Workshop on Personal Informatics in the Wild: Hacking Habits for Health & Happiness