Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
The use of explicit user models in text generation: tailoring to a user's level of expertise
The use of explicit user models in text generation: tailoring to a user's level of expertise
Specifying composite illustrations with communicative goals
UIST '89 Proceedings of the 2nd annual ACM SIGGRAPH symposium on User interface software and technology
Automatic generation of help from interface design models
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How many words is a picture worth? Automatic caption generation for news images
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
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To generate multimedia explanations, a system must be able to coordinate the use of different media in a single explanation. In this paper, we present the architecture that we have developed for COMET (COordinated Multimedia Explanation Testbed), a system that generates directions for equipment maintenance and repair, and we show how it addresses the coordination problem. COMET includes a single content planner that produces a common content description used by multiple media-specific generators, and a media coordinator that performs a fine-grained division of information among media. Bidirectional interaction between media-specific generators allows influence across media. We describe COMET's current capabilities and provide an overview of our plans for extending the system.