Project Aura: Toward Distraction-Free Pervasive Computing
By David Garlan, D. Siewiorek, Asim Smailagic, Peter Steenkiste. IEEE pervasive computing, 2002
947 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/51b149c730fc7da315e9e63d9d47253f2a1c0d9e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Charith Perera
- Christian Becker
- David Chu
- Aman Kansal
- Peter Christen
- Deepak Ganesan
- Gregor Schiele
- D. Georgakopoulos
In Computer Vision and Pattern Recognition
- Joyce Ho
- Charith Perera
- Christian Becker
- David Chu
- Aman Kansal
- Peter Christen
- Stephen S. Intille
- Deepak Ganesan
Citations in the corpus
- A survey on engineering approaches for self-adaptive systems (2015, methodology): “Task-based self-adaptation is used within the Aura project [239].”
- Context Aware Computing for The Internet of Things: A Survey (2013, background): “Aura [191] 2002 M M R P 2 – – D H – A – – – –”
- Fast app launching for mobile devices using predictive user context (2012, methodology): “FALCON uses novel features derived through extensive data analysis, and a novel cost-bene.t learning algorithm that has strong predictive performance and low runtime overhead.”
- Using context-aware computing to reduce the perceived burden of interruptions from mobile devices (2005, background): “As others have observed, although computing power will continue to improve, permitting more powerful mobile devices, human attention is a limited resource [7].”
- Middleware to support sensor network applications (2004, neutral): “…reactive applications Limbo Fargo Specialized network protocols DSWare Cougar SINA Flexible to existing network protocols MiLAN Sensor network middleware AutoSec QoS aware middleware Data/resource management Impala Code management Odyssey Spectra Non-adaptive Enables…”