"Machine Learning for Adaptive User Interfaces"

6/26/1998: [time not recorded]
[location not recorded]

Abstract: In this talk I examine adaptive user interfaces -- advisory systems that personalize themselves to individual users. First I review the issues that arise in developing systems that learn from experience, then draw a strong analogy with software that adapts to its users. After this, I consider some examples of adaptive interfaces, focusing on systems that we are developing. These include the Adaptive Route Advisor, which suggests routes based on a user's driving history, and INCA, an interactive aid for crisis management that proposes revisions to plans and schedules. In closing, I consider the challenges that arise in developing adaptive user interfaces and some general lessons that have emerged from work in this area. For more information about these projects, see the ISLE web pages: http://www.isle.org/~langley/papers/route.sss98.ps http://www.isle.org/~gervasio/pub/cogsci98.ps http://www.isle.org/~gervasio/pub/aaai98.ps This talk describes work done jointly with Seth Rogers, Wayne Iba, and Melinda Gervasio.

Last updated: Mon Jun 19 17:44:06 2006