Automatically Generating Personalized User Interfaces
, Harvard University and Microsoft Research
Date: Friday, February 27, 2009
Time: 2:00 PM to 3:00 PM
Refreshments: 1:45 PM
Location: Patil/Kiva Seminar Room 32-G449
Host: Rob Miller, MIT CSAIL
Contact: Michael Bernstein, (617) 253-0452, firstname.lastname@example.org
Relevant URL: http://www.eecs.harvard.edu/~kgajos/
Speaker URL: None
TALK: Automatically Generating Personalized User Interfaces
User Interfaces delivered with today's software are usually created in a one-size-fits-all manner, making implicit assumptions about the needs, abilities, and preferences of the "average user" and about the characteristics of the "average device." I argue that personalized user interfaces, which are adapted to a person’s devices, tasks, preferences, and abilities, can improve user satisfaction and performance. In this talk, I focus on the portion of my research, which demonstrates how this approach benefits people with motor impairments. I present three concrete systems:
-- SUPPLE, which uses decision-theoretic optimization to automatically generate user interfaces given an abstract specification of an application, a device model, and a quantitative measure of user interface quality;
-- ARNAULD, which allows optimization-based systems to be adapted to users’ preferences; and
-- Ability Modeler, a system that constructs a model of a person’s actual motor abilities.
This approach is computationally feasible and the result of our experiments show that, compared to manufacturers' default interfaces, these automatically generated personalized user interfaces significantly improve speed and accuracy for all users, and for users with motor impairments they also significantly improve satisfaction.
Krzysztof Gajos is currently a post-doctoral researcher in the Adaptive Systems and Interaction group at Microsoft Research, and in July 2009 he will join the Computer Science faculty at Harvard University.
Krzysztof is primarily interested in intelligent interactive systems, an area that spans human-computer interaction, artificial intelligence, and machine learning. His dissertation demonstrated how to automatically generate user interfaces adapted to people's devices, tasks, preferences, and abilities. His paper on Improving the performance of motor-impaired users with automatically generated, ability-based interfaces was recognized as one of the 7 "Best of CHI" papers in 2008.
Krzysztof was a recipient of a Microsoft Graduate Research Fellowship and he has also been a visiting faculty member at the Ashesi University in Ghana, where he designed and taught an introductory course in artificial intelligence. He received his B.Sc. and M.Eng. degrees in Computer Science from MIT. Subsequently he was a research scientist at the MIT Artificial Intelligence Laboratory, where he managed The Intelligent Room Project. In 2008, he received his Ph.D. in Computer Science from the University of Washington in Seattle.
Created by Linda L. Julien at Wednesday, June 19, 2013 at 6:23 AM.