Reports of the AAAI 2011 Conference Workshops

نویسندگان

  • Noa Agmon
  • Vikas Agrawal
  • David W. Aha
  • Yiannis Aloimonos
  • Donagh Buckley
  • Prashant Doshi
  • Christopher W. Geib
  • Floriana Grasso
  • Nancy Green
  • Benjamin Johnston
  • Burton S. Kaliski
  • Christopher Kiekintveld
  • Edith Law
  • Henry Lieberman
  • Ole J. Mengshoel
  • Ted Metzler
  • Joseph Modayil
  • Douglas W. Oard
  • Nilufer Onder
  • Barry O'Sullivan
  • Katerina Pastra
  • Doina Precup
  • Sowmya Ramachandran
  • Chris Reed
  • Sanem Sariel
  • Ted Selker
  • Lokendra Shastri
  • Stephen F. Smith
  • Satinder P. Singh
  • Siddharth Srivastava
  • Gita Reese Sukthankar
  • David C. Uthus
  • Mary-Anne Williams
چکیده

Pervasive context-aware computing technologies are essential enablers for next-generation applications for the digital workplace, consumer electronics, research, education, government. and health care. These enhanced technologies are expected to be in the mainstream in the next 5–10 years. Context-aware cognitive support requires activity and context information to be captured and, ever more often, moved across devices — securely, efficiently, and with multidevice interoperability. Taskand activity-based computing originated in the humancomputer interaction and computer-supported cooperative work community, such as the ACM Special Interest Group on Computer Human Interaction conference (SIGCHI) and the ACM conference on Computer Supported Cooperative Work. Recently, much work in context modeling, human activity recognition, and modeling using machine-learning techniques and sensor input has been presented in the AI and machinelearning community. As such, activity-based computing lies in the intersection of these two communities. Context representation has received a lot of attention in the information technology community and in the industry among mobile vendors. Articles

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عنوان ژورنال:
  • AI Magazine

دوره 33  شماره 

صفحات  -

تاریخ انتشار 2012