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The FraCaS project pointed to dialogue as an area in which there
should be concentrated effort in future projects concerned with the
use of natural language in interaction between humans and
machines. The focus of this project will be dialogues between humans
and machines that enable the human to make choices in the performance
of a certain task (task oriented instructional dialogues). As one
example of this we consider Route Planning as a basic scenario. The
application of the research to other scenarios (such as Machine Repair
and Software Help) will also be considered. We analyze scenarios using
a grid of user-machine interaction levels with user interaction levels
ranging from physical menu selection to unrestricted spoken questions
to the system and machine interaction levels ranging from pre-stored
text to generated spoken dialogue contributions.
The project will
- analyze features of human-human task-oriented instructional
dialogue which have to do with the way in which the information
states of dialogue participants change during the course of the
dialogue
- examine how such features can be modified in order to simplify
the task of enabling human-machine interaction which is both natural
and robust, even though it is more restricted than human-human
dialogue
- build a computational model of information revision in
task-oriented and instructional dialogues and instructional texts
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