Difference between revisions of "DiHabs"

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* [http://wwwstud.informatik.uni-rostock.de/~cb203/opsci/DiHabs/Datasets/Interview-Results/department.db Interview results (anonymized answers of participants)]
 
* [http://wwwstud.informatik.uni-rostock.de/~cb203/opsci/DiHabs/Datasets/Interview-Results/department.db Interview results (anonymized answers of participants)]
  
Information about the format of interview specifications and interview results can be found in the software's README file.
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''DiHabs'' survey results are stored as [http://docs.python.org/library/shelve.html Python shelve] databases. A result database is structured as a dictionary where each item represents one survey participant.
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More detailed information about the format and usage of interview specifications and interview results can be found in the software's README file.

Revision as of 21:07, 5 September 2012

Description

DiHabs is a survey system to capture and analyze information disclosure habits. It has been developed as part of the thesis Privacy Management in Smart Environments by Christian Bünnig (the thesis is currently in the review process).

Contributers

Software

DiHabs is implemented as a Django web application.

The archive contains a comprehensible README file with detailed setup and usage instructions.

Datasets

The DiHabs system has been used for a survey with around 70 participants from the Computer Science Department of the Universtiy of Rostock (October 2010).

DiHabs survey results are stored as Python shelve databases. A result database is structured as a dictionary where each item represents one survey participant. More detailed information about the format and usage of interview specifications and interview results can be found in the software's README file.