Difference between revisions of "DiHabs"

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Revision as of 00:17, 11 October 2010

Project Description

DiHabs is a survey system to capture and analyze information disclosure habits. It has been developed within the project Privacy in Smart Environments.

Contact contributers

Datasets

Survey Description
Example survey Example survey results presented in the TwUC paper

Format

DiHabs survey results are stored as Python shelve databases. The analyzer script within the DiHabs application (see Software below) dumps its content in limited form. For full access please refer to the linked Python documentation.

A result database is structured as a dictionary where each items represents one survey participant. Per participant the following information is stored:

interview Complete interview specification.
end Time in seconds the participant needed to answer all questions.
npersons Number of persons entered by a participant in the first interview part.
groups Generated person groups for the third interview part.
nvalues List of number of items entered by participants entered in the second interview part for each information type specified in the interview.
disclosures List of answers from the third interview part. Each answer is also a dictionary containing items which specify the corresponding person group, disclosed values at all and per type and the progressed time since the interview started.

Publications

A paper presenting DiHabs has been submitted to EuroSys 2011.

Software

DiHabs is implemented as a Django web application. The download files below contain this web application integrated in a development Django site project (for easy testing outside productive server environments). Documentation is not yet complete. Please contact me directly for installation and usage support.

Version Date Description
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