Audiograf: a diagram-reader for the blind
Assets '96 Proceedings of the second annual ACM conference on Assistive technologies
Mapping communicative goals into conceptual tasks to generate graphics in discourse
Proceedings of the 5th international conference on Intelligent user interfaces
A plan-based analysis of indirect speech acts
Computational Linguistics
Performance issues and error analysis in an open-domain Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A Model of Perceptual Task Effort for Bar Charts and its Role in Recognizing Intention
User Modeling and User-Adapted Interaction
Estimating Effort for Trend Messages in Grouped Bar Charts
Diagrams '08 Proceedings of the 5th international conference on Diagrammatic Representation and Inference
The automated understanding of simple bar charts
Artificial Intelligence
Access to multimodal articles for individuals with sight impairments
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
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Information graphics, such as bar charts and line graphs, that appear in popular media generally have a message that they are intended to convey. We have developed a novel plan inference system that uses evidence in the form of communicative signals from the graphic to recognize the graphic designer's intended message. We contend that plan inference research would benefit from examining how each of its evidence sources impacts the system's success. This paper presents such an evidence analysis for the communicative signals that are captured in our plan inference system, and the paper shows how the results of this evidence analysis are informing our research on plan recognition and application systems.