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The Magicians Assistant Kevin Tassini Carnegie Mellon University Context-Aware Technology Context-Aware Technology Collecting data to help systematically predict the users state (GPS, accelerometer, microphone, time). Providing


  1. The Magician’s Assistant Kevin Tassini Carnegie Mellon University

  2. Context-Aware Technology

  3. Context-Aware Technology • Collecting data to help systematically predict the user’s state (GPS, accelerometer, microphone, time). • Providing services that are personalized to the user based on their context. • Types of data we can gather is getting greater and more sophisticated everyday.

  4. About the Author Context-Aware Technology

  5. About the Author Context-Aware Technology

  6. About the Author • HCI Researcher @ Carnegie Mellon University • User experience research/ ethnography. • Applying HCI (interaction design and user experience principles) to the public health domain, particularly in the area of public health.

  7. • Anind Dey • Choonsung Shin • Ian Li • Kevin Tassini • Maria Brooks • SeungJun Kim • Scott Davidoff • Jin-Hyuk Hong • Gabriela Marcu • Matthew Lee • Christian Koehler • Dezhong Yao • Brian Ziebart • Eija Haapalainen • Denzil Ferreira

  8. • Anind Dey • Choonsung Shin • Ian Li • Kevin Tassini • Maria Brooks • SeungJun Kim • Scott Davidoff • Jin-Hyuk Hong • Gabriela Marcu • Matthew Lee • Christian Koehler • Dezhong Yao • Brian Ziebart • Eija Haapalainen • Denzil Ferreira

  9. Potential Benefits • Predicting context to improve energy efficiency. Christian Kohler, Automatic Thermostat Control and Behavior Modification, Ongoing Work.

  10. Potential Benefits • Predicting context to improve energy efficiency. 45° Christian Kohler, Automatic Thermostat Control and Behavior Modification, Ongoing Work.

  11. Potential Benefits • Predicting context to improve energy efficiency. 67° Christian Kohler, Automatic Thermostat Control and Behavior Modification, Ongoing Work.

  12. Potential Benefits • Predicting context to improve efficiency and ability to manage routine. Scott Davidoff, Routine as Resource for the Design of Learning Systems, PhD Thesis, Carnegie Mellon University, Advisors: Anind K. Dey, John Zimmerman, Scott Hudson, Gregory Abowd

  13. Potential Benefits • Predicting context to improve efficiency and ability to manage routine. ∑ driver = P 1 ∅ = L n , Rtype, DoW ∑ driver = P 1 + ∑ driver = P 2 L n , Rtype, DoW L n , Rtype, DoW Scott Davidoff, Routine as Resource for the Design of Learning Systems, PhD Thesis, Carnegie Mellon University, Advisors: Anind K. Dey, John Zimmerman, Scott Hudson, Gregory Abowd

  14. Potential Benefits • Predicting context to improve efficiency and ability to manage routine. ∑ driver = P 1 ∅ = L n , Rtype, DoW ∑ driver = P 1 + ∑ driver = P 2 L n , Rtype, DoW L n , Rtype, DoW Scott Davidoff, Routine as Resource for the Design of Learning Systems, PhD Thesis, Carnegie Mellon University, Advisors: Anind K. Dey, John Zimmerman, Scott Hudson, Gregory Abowd

  15. Potential Benefits • Improving social interactions. Y. Oh, C. Shin, W. Jung, W. Woo, “The ubiTV application for a Family in ubiHome,” In: 2nd Ubiquitous Home workshop, 2005, pp. 23–32.

  16. Potential Benefits • Improving social interactions. CH 1 CH 2 CH 3 CH 4 Y. Oh, C. Shin, W. Jung, W. Woo, “The ubiTV application for a Family in ubiHome,” In: 2nd Ubiquitous Home workshop, 2005, pp. 23–32.

  17. Potential Benefits • Improving social interactions. CH 1 CH 7 CH 2 CH 6 CH 3 CH 5 CH 4 CH 4 Y. Oh, C. Shin, W. Jung, W. Woo, “The ubiTV application for a Family in ubiHome,” In: 2nd Ubiquitous Home workshop, 2005, pp. 23–32.

  18. Potential Benefits • Improving social interactions. CH 1 CH 7 CH 2 CH 6 CH 3 CH 5 CH 4 CH 4 CH 4 Y. Oh, C. Shin, W. Jung, W. Woo, “The ubiTV application for a Family in ubiHome,” In: 2nd Ubiquitous Home workshop, 2005, pp. 23–32.

  19. Potential Benefits • Improving workflow and quality of life. J. Fogarty, S.E. Hudson, C.G. Atkeson, D. Avrahami, J Forlizzi, S Kiesler, J.C. Lee, and J. Yang (2005). Predicting Human Interruptibility with Sensors. ACM Transactions on Computer- Human Interaction

  20. Potential Benefits • Improving workflow and quality of life. J. Fogarty, S.E. Hudson, C.G. Atkeson, D. Avrahami, J Forlizzi, S Kiesler, J.C. Lee, and J. Yang (2005). Predicting Human Interruptibility with Sensors. ACM Transactions on Computer- Human Interaction

  21. Science Fiction Prototype • Vernon uses context-aware technology throughout the day from the moment he wakes up. It communicates to him through a “lithe and lilting” female voice and he calls her Becca. • Becca controls everything Vernon does throughout the day from the moment he wakes up.

  22. Science Fiction Prototype • In a world where context-aware technology is commonplace, and presumably effective, what will the implications be for the user? • As developers of these technologies, what is our role versus the role of the user?

  23. Thank You.

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