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  1. Proceedings of the 3rd ACM international workshop on Human-centered computing (HCC '08)
  2. Exploring a human centered approach to managing visual privacy concerns during collaboration
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Interaction and user experiences with multimedia technologies: challenges and future topics
Broadcast yourself on YouTube: really?
Evoking gesture in interactive art
Studying vision-based multiple-user interaction with in-home large displays
An image-centred "search and indexation system" based in user's data and perceived emotion
Enriched human-centered multimedia computing through inspirations from disabilities and deficit-centered computing solutions
Quality-driven human-centered approach for service provisioning in ambient environment
Effect of screen configuration and interaction devices in shared display groupware
Architecting ambient intelligence systems
Presentation tools for high-resolution and multiple displays
Exploring a human centered approach to managing visual privacy concerns during collaboration

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Exploring a human centered approach to managing visual privacy concerns during collaboration

Content Provider ACM Digital Library
Author Hawkey, Kirstie
Abstract Human Centered Computing (HCC) systems should be socially aware and HCC applications should act according to the social context in which they are deployed. This paper examines a human centered approach to managing visual privacy during collaboration around a personal computer. We propose an intelligent system that takes into account the current social context of the user. Prior research has found that visual privacy can be a concern when traces of prior activities (i.e. web browsing history) that are inappropriate for the current social viewing context are displayed. Investigations of privacy management approaches have found that the burden of manually classifying traces of prior activity is high. The approach presented here is based on a conceptual model of incidental information privacy in web browsers developed previously. In this paper, we introduce a predictive model of privacy concerns, both for the general case and within the context of two specific viewer types. Our results suggest that an intelligent user interface approach is feasible and that adaptations may be combined with more explicit approaches to reduce users' burden of managing their visual privacy.
Starting Page 69
Ending Page 76
Page Count 8
File Format PDF
ISBN 9781605583204
DOI 10.1145/1462027.1462038
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-10-31
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Usable security and privacy Visual privacy Web browser Incidental information privacy User modeling Adaptive user interface
Content Type Text
Resource Type Article
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