Articulate: a Conversational Interface for Visual Analytics

October 11th, 2009

Categories: Applications, MS / PhD Thesis, Software, Visualization

Yiwen Sun presenting poster to Dr. Jock Mackinlay at VAST 2009
Yiwen Sun presenting poster to Dr. Jock Mackinlay at VAST 2009

Authors

Sun, Y., Leigh, J., Johnson, A. E., Chau, D.

About

While many visualization tools exist that offer sophisticated functions for charting complex data, they still expect users to possess a high degree of expertise in wielding the tools to create an effective visualization. This poster presents Articulate, an attempt at a semi-automated visual analytic model that is guided by a conversational user interface. The goal is to relieve the user of the physical burden of having to directly craft a visualization through the manipulation of a complex user-interface, by instead being able to verbally articulate what the user wants to see, and then using natural language processing and heuristics to semi-automatically create a suitable visualization.

Index Terms: H.5.2 [Information Interfaces and Presentation]: User Interfaces - Graphical user interfaces

Resources

PDF

Citation

Sun, Y., Leigh, J., Johnson, A. E., Chau, D., Articulate: a Conversational Interface for Visual Analytics, Proceedings of the IEEE Symposium on Visual Analytics Science and Technology, Atlantic City, New Jersey, October 11th, 2009.