Data characterization for intelligent graphics presentation
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Task-analytic approach to the automated design of graphic presentations
ACM Transactions on Graphics (TOG)
Graphics and natural language as components of automatic explanation
Intelligent user interfaces
Plan-based integration of natural language and graphics generation
Artificial Intelligence - Special volume on natural language processing
Interactive graphic design using automatic presentation knowledge
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using argumentation to control lexical choice: a functional unification implementation
Using argumentation to control lexical choice: a functional unification implementation
Participating in explanatory dialogues: interpreting and responding to questions in context
Participating in explanatory dialogues: interpreting and responding to questions in context
Visage: a user interface environment for exploring information
INFOVIS '96 Proceedings of the 1996 IEEE Symposium on Information Visualization (INFOVIS '96)
Referring to world objects with text and pictures
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Generating explanatory captions for information graphics
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Computer Standards & Interfaces
Planning multimedia explanations using communicative acts
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Modeling and querying graphical representations of statistical data
Web Semantics: Science, Services and Agents on the World Wide Web
Evaluating a Tool for Improving Accessibility to Charts and Graphs
ACM Transactions on Computer-Human Interaction (TOCHI)
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We present an approach to generating multimedia presentations that integrates hierarchical planning to achieve communicative goals, and task-based graphic design. A planning process decomposes domain-specific goals to domain-independent goals, which in turn are realized by media-specific techniques such as task-based graphic design. We apply our approach to developing AutoBrief, a system that summarizes large data sets using natural language and information graphics. Finally, we analyze AutoBrief in terms of the standard reference model (SRM).