Plans and situated actions: the problem of human-machine communication
Plans and situated actions: the problem of human-machine communication
Generating context-sensitive responses to object-related misconceptions
Artificial Intelligence
Causal model progressions as a foundation for intelligent learning environments
Artificial Intelligence - Special issue on artificial intelligence and learning environments
Pragmatics and natural language generation
Artificial Intelligence
A predictive approach for the generation of rhetorical devices
Computational Intelligence
Situated cognition: Stepping out of representational flatland
AI Communications
Using “live information” in a multimedia framework
Intelligent multimedia interfaces
An analysis of explanation and its implications for the design of explanation planners
An analysis of explanation and its implications for the design of explanation planners
Tailoring explanations for the user
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
A reactive approach to explanation
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Controlling a language generation planner
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Combining discourse strategies to generate descriptions to users along a naive/expert spectrum
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
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Human explanatory dialogue is an activity in which participants interactively construct explanatory models of the topic phenomenon. However, current explanation planning technology does not support such dialogue. In this paper we describe contributions in the areas of discourse planning architectures, heuristics for knowledge communication, and user interface design that take steps towards addressing this problem. First, our explanation planning architecture independently applies various constraints on the content and organization of explanation, avoiding the inflexibility and contextual assumptions of schematic discourse plans. Second, certain planning operators simulate a human explainer's efforts to choose and incrementally develop models of the topic phenomenon. Third, dialogue occurs in the medium of a "live information" interface designed to serve as the representational medium through which the activities of the machine and human are coupled. Collectively these contributions facilitate interactive model construction in human-machine dialogue.