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Visualization of Human Behavior Data: The Quantified Self

Visualization of Human Behavior Data: The Quantified Self
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Author(s): Alessandro Marcengo (Telecom Italia, Italy)and Amon Rapp (Computer Science Department – University of Torino, Italy)
Copyright: 2014
Pages: 30
Source title: Innovative Approaches of Data Visualization and Visual Analytics
Source Author(s)/Editor(s): Mao Lin Huang (University of Technology, Sydney, Australia)and Weidong Huang (CSIRO, Australia)
DOI: 10.4018/978-1-4666-4309-3.ch012

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Abstract

Although in recent years the Quantified Self (QS) application domain is growing, there are still some palpable fundamental problems that relegate the QS movement in a phase of low maturity. The first is a technological problem, and specifically, a lack of maturity in technologies for the collection, processing, and data visualization. This is accompanied by a perhaps more fundamental problem of deficit, bias, and lack of integration of aspects concerning the human side of the QS idea. The step that the authors tried to make in this chapter is to highlight aspects that could lead to a more robust approach in QS area. This was done, primarily, through a new approach in data visualization and, secondly, through a necessary management of complexity, both in technological terms and, for what concerns the human side of the whole issue, in theoretical terms. The authors have gone a little further stressing how the future directions of research could lead to significant impacts on both individual and social level.

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