Interactive software systems are leaving the desktop and entering into
the hustle and bustle of everyday life. Accordingly, the users' time
pressure and situational distractions are becoming increasingly
important determinants of the quality of interaction. In the project
READY of the DFG Collaborative Research Center 378, a user's time and
working memory are treated as key resources that can be more or less
limited, depending on the situation. Since 1996 the following issues
have been investigated:
- How can an assistance system recognize the current resource limitations of the user on the basis of the user's behavior?
- How can a system of this type adapt its own behavior
so as to take the user's resource limitations into account?
During the first 3-year phase of the project, the following example
scenario was employed: A natural language dialog system gives advice
by phone to a driver who is repairing his or her car by the side of
the road. The system prototype assesses the driver's resource
limitations, mainly on the basis of aspects of the driver's speech
(e.g., pauses). The system adapts its own behavior, for example, by
formulating especially concise or especially easy-to-understand
instructions. (A report on this first phase of the research was one of
the two papers awarded the "Best Paper" prize at the 1999
International Conference on Intelligent User Interfaces.)
For the current phase of the research, the example scenario is the one
illustrated here. The system offers resource-adaptive assistance to a
traveler in Frankfurt Airport. The techniques that were developed in
the first phase are being extended and differentiated along several
dimensions. One central issue concerns techniques for automatically
learning the dynamic Bayesian networks that constitute READY's central
inference mechanism.
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