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Protecting private data in public
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CHI '06 extended abstracts on Human factors in computing systems table of contents
Montréal, Québec, Canada
SESSION: Work-in-progress table of contents
Pages: 1409 - 1414  
Year of Publication: 2006
ISBN:1-59593-298-4
Authors
Peter Tarasewich  Northeastern University, Boston, MA
Jun Gong  Northeastern University, Boston, MA
Richard Conlan  Northeastern University, Boston, MA
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 33,   Citation Count: 2
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ABSTRACT

Current technologies allow users to access information in virtually any public setting. This creates situations where sensitive information, both organizational and personal in nature, can be seen and captured by nearby people and technology. Therefore, methods are necessary to ensure the privacy and security of information displayed in public spaces. The authors have developed Web browser privacy blinders, which hide sensitive information from view while leaving other information unobscured. Results of two pilot studies supported the viability and potential usefulness of the privacy blinder concept, and have set the stage for continued development of the technique through large-scale controlled studies and field tests.




Collaborative Colleagues:
Peter Tarasewich: colleagues
Jun Gong: colleagues
Richard Conlan: colleagues