Integrating smartphone and sensor data in a quanti ed self app |
| | Abstract | The purpose of this thesis is to combine the fields of data visualization, quantified self and app development to create an approach which can be used to develop quantified self apps which avoid the problems of today's data representations in quantified self apps.
The problems are determined by conducting an early validation test where a number of data representations in current quantified self apps are tested. The results of the test show that there are 6 categories of problems: icons, colours, information overload, size, comparisons and explanations.
The literature and studies related to the fields of quantified self and data visualization are examined in order to understand the cause of the problems. An approach to solve the problems is derived based on the examination of the literature and studies and the results of the early validation test. This approach is used to develop a prototype of a quantified self app. This app is then tested to see if the approach can solve the problems.
The results of the prototype test indicate that the approach could be a solution to the problems in quantified self app's data representations. | | Type | Master's thesis [Academic thesis] | | Year | 2013 | | Publisher | Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co | | Address | Matematiktorvet, Building 303B, DK-2800 Kgs. Lyngby, Denmark, compute@compute.dtu.dk | | Series | M.Sc.-2013-69 | | Note | DTU supervisors: Michael Kai Petersen, mkai@dtu.dk, DTU Compute, and Jakob Eg Larsen, jaeg@dtu.dk, DTU Compute | | Electronic version(s) | [pdf] | | Publication link | http://www.imm.dtu.dk/English.aspx | | BibTeX data | [bibtex] | | IMM Group(s) | Intelligent Signal Processing |
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