Extended person-machine interface
Artificial Intelligence
Discourse strategies for generating natural-language text
Artificial Intelligence
Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
TEAM: an experiment in the design of transportable natural-language interfaces
Artificial Intelligence
Principles of artificial intelligence
Principles of artificial intelligence
Introduction to artificial intelligence
Introduction to artificial intelligence
Motivation analysis, abductive unification, and nonmonotonic equality
Artificial Intelligence
Modeling the user's plans and goals
Computational Linguistics - Special issue on user modeling
HLT '91 Proceedings of the workshop on Speech and Natural Language
Lk: A Language for Capturing Real World Meanings of the Stored Data
Proceedings of the Seventh International Conference on Data Engineering
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
CIKM '93 Proceedings of the second international conference on Information and knowledge management
CBM: a visual query interface model based on annotated cartoon diagrams
AVI '00 Proceedings of the working conference on Advanced visual interfaces
An epistemological display query interface
AVI '98 Proceedings of the working conference on Advanced visual interfaces
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This paper describes a model that can account for ad hoc user-responses to argument interrogative type of system-initiated questions. Successful implementation of the model can provide an alternative solution that is more effective than the menu-driven approach that has been proposed as a meager solution to enable the system to ask a question to the user. The proposed model assumes that when the system asks a question, it maintains an expectation of the potential answers. The system then uses the expectation as the focus to perform the most likely interpretation of the user's response. Without using such a focus the interpretation process could be unbounded. The interpretation process is mapped into a heuristic search problem. The interpretation process results in identifying a particular expectation-response relationship type, which the system can use to tailor its response strategy with respect to the given user-response. A prototype has been constructed to demonstrate the soundness of the proposed model.