Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
C4.5: programs for machine learning
C4.5: programs for machine learning
CADET: a case-based synthesis tool for engineering design
International Journal of Expert Systems - Special issue on case-based reasoning
The design of illustrated documents as a planning task
Intelligent multimedia interfaces
Creating charts by demonstration
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Sketching, searching, and customizing visualizations: a content-based approach to design retrieval
Intelligent multimedia information retrieval
The grammar of graphics
Efficient Case-Based Structure Generation for Design Support
Artificial Intelligence Review
Machine Learning
Visual Planning: A Practical Approach to Automated Presentation Design
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Building a Visual Database for Example-based Graphics Generation
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
The representation and use of a visual lexicon for automated graphics generation
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Applying machine learning to automated information graphics generation
IBM Systems Journal
Proceedings of the 17th annual ACM symposium on User interface software and technology
A graph-matching approach to dynamic media allocation in intelligent multimedia interfaces
Proceedings of the 10th international conference on Intelligent user interfaces
Enabling context-sensitive information seeking
Proceedings of the 11th international conference on Intelligent user interfaces
Instance-based sentence boundary determination by optimization for natural language generation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
An optimization-based approach to dynamic data transformation for smart visualization
Proceedings of the 13th international conference on Intelligent user interfaces
Behavior-driven visualization recommendation
Proceedings of the 14th international conference on Intelligent user interfaces
Responsive information architect: enabling context-sensitive information seeking
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Creating visualizations: a case-based reasoning perspective
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
HARVEST: an intelligent visual analytic tool for the masses
Proceedings of the first international workshop on Intelligent visual interfaces for text analysis
Visualization for the masses: learning from the experts
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Visual recommendations for network navigation
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Understand users’ comprehension and preferences for composing information visualizations
ACM Transactions on Computer-Human Interaction (TOCHI)
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Hand-crafting effective visual presentations is time-consuming and requires design skills. Here we present a case-based graphic sketch generation algorithm, which uses a database of existing graphic examples (cases) to automatically create a sketch of a presentation for a new user request. As the first case-based learning approach to graphics generation, our work offers three unique contributions. First, we augment a similarity metric with a set of adequacy evaluation criteria to retrieve a case that is most similar to the request and is also usable in sketch synthesis. To facilitate the retrieval of case fragments, we develop a systematic approach to case/request decomposition when a usable case cannot be found. Second, we improve case retrieval speed by organizing cases into hierarchical clusters based on their similarity distances and by using dynamically selected cluster representatives. Third, we develop a general case composition method to synthesize a new sketch from multiple retrieved cases. Furthermore, we have implemented our casebased sketch generation algorithm in a user-system cooperative graphics design system called IMPROVISE, which helps users to generate creative and tailored presentations.