We present “equiveillance” as a conceptual framework for understanding the balance between surveillance and sousveillance. In addition to this conceptual framework we also pre...
Detecting outliers in data is an important problem with interesting applications in a myriad of domains ranging from data cleaning to financial fraud detection and from network i...
Gustavo Henrique Orair, Carlos Teixeira, Ye Wang, ...
Understanding the robustness and rapidness of human scene categorization has been a focus of investigation in the cognitive sciences over the last decades. At the same time, progr...
Julia Vogel, Adrian Schwaninger, Christian Wallrav...
Blind and deaf-blind people often rely on public transit for everyday mobility, but using transit can be challenging for them. We conducted semi-structured interviews with 13 blin...
Shiri Azenkot, Sanjana Prasain, Alan Borning, Emil...
The movement to multi-core processors increases the need for simpler, more robust parallel programming models. Atomic sections have been widely recognized for their ease of use. T...
Bill McCloskey, Feng Zhou, David Gay, Eric A. Brew...