The elements of graphing data
The visual display of quantitative information
The visual display of quantitative information
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A Bayesian model of plan recognition
Artificial Intelligence
Mapping communicative goals into conceptual tasks to generate graphics in discourse
Proceedings of the 5th international conference on Intelligent user interfaces
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Techniques for Plan Recognition
User Modeling and User-Adapted Interaction
Building Probabilistic Networks: 'Where Do the Numbers Come From?' Guest Editors' Introduction
IEEE Transactions on Knowledge and Data Engineering
International Journal of Human-Computer Studies
Semiology of graphics
A probabilistic framework for the recognition of intention in information graphics
A probabilistic framework for the recognition of intention in information graphics
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
A cognitive model for understanding graphical perception
Human-Computer Interaction
A probabilistic framework for recognizing intention in information graphics
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Getting computers to see information graphics so users do not have to
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Recognizing the intended message of line graphs
Diagrams'10 Proceedings of the 6th international conference on Diagrammatic representation and inference
Automatically recognizing intended messages in grouped bar charts
Diagrams'12 Proceedings of the 7th international conference on Diagrammatic Representation and Inference
Twelve years of diagrams research
Journal of Visual Languages and Computing
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This paper discusses the types of communicative signals that frequently appear in simple bar charts and how we exploit them as evidence in our system for inferring the intended message of an information graphic. Through a series of examples, we demonstrate the impact that various types of communicative signals, namely salience, captions and estimated perceptual task effort, have on the intended message inferred by our implemented system.