Privacy risk models for designing privacy-sensitive ubiquitous computing systems

By Jason I. Hong, Jennifer D. Ng, Scott Lederer, James A. Landay. Symposium on Designing Interactive Systems, 2004

296 citations recorded by the source corpus.

Privacy is a difficult design issue that is becoming increasingly important as we push into ubiquitous computing environments. While there is a fair amount of theoretical work on designing for privacy, there are few practical methods for helping designers create applications that provide end-users with a reasonable level of privacy protection that is commensurate with the domain, with the community of users, and with the risks and benefits to all stakeholders in the intended system. Towards this end, we propose privacy risk models as a general method for refining privacy from an abstract concept into concrete issues for specific applications and prioritizing those issues. In this paper, we introduce a privacy risk model we have developed specifically for ubiquitous computing, and outline two case studies describing our use of this privacy risk model in the design of two ubiquitous computing applications.

Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f3b73c96f0db67b2deb4369cc476fd22a7a09e86

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

In Electrical and Electronic Engineering

In Sociology and Political Science

Citations in the corpus

An architecture for privacy-sensitive ubiquitous computing (2004, methodology): “Towards this end, we have developed an initial privacy risk model specif ically for ubiquitous computing [78].”
Engineering Privacy (2009, background): “Hong et al. [27] proposed privacy risk models as an approach to the design of privacy-sensitive ubiquitous computing systems.”
Addressing privacy requirements in system design: the PriS method (2008, methodology): “A recent variation of this framework is proposed by Hong et al. [ 27 ].”
Privacy in the Digital Age: A Review of Information Privacy Research in Information Systems (2011, background): “…seems likely to gain importance is the balancing of information privacy concerns with the advantages of location-based services (LBS), as hinted at in some conference papers (Gkoulalas-Divanis et al. 2009; Hong et al. 2004), since vendors increasingly explore ways to use LBS for marketing purposes.”