QS Spiral: Visualizing Periodic Quantified Self Data

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Abstract

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.
Original languageEnglish
Title of host publicationProceedings of CHI 2013 Workshop on Personal Informatics in the Wild: Hacking Habits for Health & Happiness
Number of pages4
Publication date2013
Publication statusPublished - 2013
EventCHI 2013 Workshop on Personal Informatics in the Wild: Hacking Habits for Health & Happiness - Paris, France
Duration: 27 Apr 201328 Apr 2013
http://personalinformatics.org/chi2013

Workshop

WorkshopCHI 2013 Workshop on Personal Informatics in the Wild: Hacking Habits for Health & Happiness
Country/TerritoryFrance
CityParis
Period27/04/201328/04/2013
Internet address

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