The effects of filtered video on awareness and privacy

By Michael Boyle, Christopher Edwards, Saul Greenberg. Conference on Computer Supported Cooperative Work, 2000

339 citations recorded by the source corpus.

Subfields: Information Systems, Ocean Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/933459285e5462bb54100df2e2992ec317f61cbd

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In Ocean Engineering

In Human-Computer Interaction

Citations in the corpus

Context as a Dynamic Construct (2001, background): “Finally, observations of how the context-aware application performs in real world setting should inform its further design and redesign.”
DeepPrivacy: A Generative Adversarial Network for Face Anonymization (2019, background): “Naive methods that apply simple image distortion have been discussed numerous times in literature [1,19,5,20,4], such as pixelation and blurring; but, they are inadequate for removing the privacysensitive information [4,19,20], and they alter the data distribution substantially.”
Value Sensitive Design and Information Systems (2020, background): “Privacy Refers to a claim, an entitlement, or a right of an individual to determine what information about himself or herself can be communicated to others Agreand Rotenberg (1998), Bellotti (1998), Boyle et al. (2000) , Friedman (1997b), Fuchs (1999), Jancke et al. (2001), Palen and Dourish (2003)”
The notification collage: posting information to public and personal displays (2001, methodology): “, clicking a video could raise a full audio/video channel, while clicking a desktop image would raise a screen-sharing tool); and introducing techniques to mitigate privacy concerns over video [2].”
Model-Based Face De-Identification (2006, background): “While some of these techniques have been shown to reduce the capability of human observers to identify people or actions in the scene [7, 20, 27], no formal privacy guarantees are made.”
Blur filtration fails to preserve privacy for home-based video conferencing (2006, background): “To foreshadow what is to come, we constructed a controlled experiment to test blur .ltration with a set of scenes that typify home telecommuting, where scenes range greatly in perceived privacy risk.”
Getting the Face Behind the Squares: Reconstructing Pixelized Video Streams (2011, methodology): “Pixelization [4] is a technique employed to hide details from an area of an image, by replacing the area with a very low resolution version of it.”
Personal privacy through understanding and action: five pitfalls for designers (2004, background): “, [47, 48]) and could serve as the basis for a more streamlined ubicomp privacy tool.”
Value tensions in design: the value sensitive design, development, and appropriation of a corporation's groupware system (2007, background): “A third strand proposes technological designs to support specific human values [1, 2].”