Titlebook: Computational Models of Mixed-Initiative Interaction; Susan Haller,Alfred Kobsa,Susan McRoy Book 1999 Springer Science+Business Media Dord

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What is Initiative?, there is now active research in the area of mixed initiative interactive systems, there appears to be no true consensus in the field as to what the term ‘initiative’ actually means. In describing different possible approaches to the modeling of initiative, we aim to show the potential importance of

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An Evidential Model for Tracking Initiative in Collaborative Dialogue Interactions,in collaborative dialogue interactions. Our model predicts the task and dialogue initiative holders for the next dialogue turn based on the current initiative holders and the effect that observed cues have on changing them. Our evaluation across various corpora shows that the use of cues consistentl

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Indent

COLLAGEN: A Collaboration Manager for Software Interface Agents,ld a software interface agent for a simple air travel application. The software agent provides intelligent, mixed initiative assistance without requiring natural language understanding. A key benefit of the collaboration manager is the automatic construction of an interaction history which is hierar

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airborne

Mixed-Initiative Issues in an Agent-Based Meeting Scheduler,th the user, the critical aspects of delegation-based interaction are outlined. Then MASMA, an agent system for distributed meeting scheduling, is described, and the solutions developed to control interaction are explained in detail. The issues addressed concern: the agent capability of adapting its

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本能

A Computational Mechanism for Initiative in Answer Generation,scourse turn. This paper describes the use of . as a computational mechanism for taking the initiative to provide unrequested information in responses to Yes—No questions, as part of a system for generating answers to Yes—No questions. Stimulus conditions represent types of discourse contexts in whi

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User-Tailored Planning of Mixed Initiative Information-Seeking Dialogues,s is appropriate for collaborative planning tasks, the situation in interactive information retrieval systems is quite different: there is no inherent plan-goal hierarchy, and users are known to often opportunistically change their goals and strategies during and through interaction. We need to allo