The term privacy dates back to 1450 (see Feith, 2003) and is constantly adjusted to the needs of a changing society. In its original meaning, the term privacy referred to a state of ‘being apart or belonging to oneself’, in contrast to belonging to the state. When the term privacy is used today, especially in relation with information and communication technology, it usually refers to the concept of informational privacy. One of the most popular definitions is probably the one by Westin (1967), who defined privacy as ‘the claim of individuals, groups or institutions to determine for themselves when, how and to what extend information about them is communicated to others’. In this context, the term informational privacy refers to all data about a person, in general everything other people know about a person, and especially includes individual-related data (von Locquenghien, 2006).
Published in Chapter:
Information Security at Large Public Displays
Carsten Röcker (University of California, San Diego, USA), Carsten Magerkurth (SAP Research, CEC St. Gallen, Switzerland), and Steve Hinske (Institute for Pervasive Computing, ETH Zürich, Switzerland)
Copyright: © 2009
|Pages: 22
DOI: 10.4018/978-1-60566-132-2.ch028
Abstract
In this chapter we present a novel concept for personalized privacy support on large public displays. In the first step, two formative evaluations are conducted in order to analyze the requirements of potential users regarding the protection of private information on large public displays. The insights gained in these evaluations are used to design a system that automatically adapts the information visible on public displays according to the current social situation and the individual privacy preferences of the user working on the display. In a third evaluation, the developed system is evaluated regarding its appropriateness for daily usage and its usefulness to protect privacy. The results of the evaluation show that users are in general willing to trust system-based protection mechanisms, provided that they are well implemented. In this context, the proposed combination of pre-defined privacy profiles and context-adapted information visualization proved to be a good trade-off between usability and adequate privacy protection.