GVU Technical Report Number: GIT-GVU-05-02

Title: A Probabilistic Approach to the Semantic Interpretation of Building Facades

Authors: Carlos Jensen, Joe Tullio, Colin Potts, Elizabeth D. Mynatt

Abstract:
Privacy is an important concern for users, and a difficult design challenge. Different user populations have different requirements and expectations when it comes to privacy; thus finding universally acceptable solutions is far from trivial. Design guidelines have been available for a number of years, but often fail to address the dynamic and impromptu nature of privacy management. These methods also fail to provide a robust and replicable procedure for identifying potential problems, leaving the design process more in the realm of art than science. We identify general requirements for privacy-aware design and review how existing methods and guidelines meet these requirements. We then introduce a light-weight method adapted from the requirements engineering literature for the structured analysis of privacy vulnerabilities in design and the iterative adaptation of preferences. We present a study of this method on a predictive group calendar system.

Keywords: Design, privacy, CSCW, goal-oriented analysis, structured analysis, groupware, calendar systems, e-commerce.

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