User Experience Design For Quantifying Social Relations Based On Smartphone Sensors | Roshanth Ranganathan
| | Abstract | The goal of the thesis is to create a user experience design for a mobile application, which uses social relations quantified by social and location data, in order to satisfy user needs related to maintaining, strengthening and possibly creating new relations.
In order to reach the goal the related work was investigated. This answered why social relations should be quantified, how it is done today and how it can be done based on smartphone sensors. Based on the related work an analysis of the user and user needs was done, which resulted in three use cases.
These use cases were the foundation of the features included in the fist three conceptual designs. These conceptual designs were built as prototypes and tested in three iterations. The fist two iterations were used to validate the problem of the thesis and the identified user needs, thereby acting as a proof of concept. Furthermore they helped to include only the necessary features needed to satisfy the user needs. The third iteration was then used to test the visual design in order to see how the users understand and interact with the interfaces. After the users' acceptance of the prototypes after the third iteration tests, a list of requirements were specified.
Then the different options for implementing the stated requirements were explored and explained in terms of advantages and risks. These laid the foundation for a front-end implementation of the application. The implementation and its features form the user experience design for quantifying social relations based on Facebook data and location data. | | 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.-2013-76 | | Note | DTU supervisors: Michael Kai Petersen, mkai@dtu.dk, DTU Compute | | Electronic version(s) | [pdf] | | Publication link | http://www.compute.dtu.dk/English.aspx | | BibTeX data | [bibtex] | | IMM Group(s) | Intelligent Signal Processing |
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