Computational Models of Mixed-Initiative Interaction

✍ Scribed by Dr. Robin Cohen, Coralee Allaby (auth.), Susan Haller, Alfred Kobsa, Susan McRoy (eds.)

Publisher: Springer Netherlands
Year: 1999
Tongue: English
Leaves: 399
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Computational Models of Mixed-Initiative Interaction brings together research that spans several disciplines related to artificial intelligence, including natural language processing, information retrieval, machine learning, planning, and computer-aided instruction, to account for the role that mixed initiative plays in the design of intelligent systems. The ten contributions address the single issue of how control of an interaction should be managed when abilities needed to solve a problem are distributed among collaborating agents.
Managing control of an interaction among humans and computers to gather and assemble knowledge and expertise is a major challenge that must be met to develop machines that effectively collaborate with humans. This is the first collection to specifically address this issue.

✦ Table of Contents

Front Matter....Pages i-4
What is Initiative?....Pages 5-48
An Evidential Model for Tracking Initiative in Collaborative Dialogue Interactions....Pages 49-87
An Analysis of Initiative Selection in Collaborative Task-Oriented Discourse....Pages 89-148
COLLAGEN: A Collaboration Manager for Software Interface Agents....Pages 149-184
Lifelike Pedagogical Agents for Mixed-Initiative Problem Solving in Constructivist Learning Environments....Pages 185-228
Mixed-Initiative Issues in an Agent-Based Meeting Scheduler....Pages 229-262
Exploring Mixed-Initiative Dialogue Using Computer Dialogue Simulation....Pages 263-275
A Computational Mechanism for Initiative in Answer Generation....Pages 277-316
User-Tailored Planning of Mixed Initiative Information-Seeking Dialogues....Pages 317-350
An Approach to Mixed Initiative Spoken Information Retrieval Dialogue....Pages 351-397

✦ Subjects

User Interfaces and Human Computer Interaction; Artificial Intelligence (incl. Robotics); Computational Linguistics

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