Articulate: a Conversational Interface for Visual Analytics
Authors: Sun, Y., Leigh, J., Johnson, A. E., Chau, D.
Publication: Proceedings of the IEEE Symposium on Visual Analytics Science and Technology, Atlantic City, New Jersey
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
Date: October 11, 2009 - October 16, 2009
Document: View PDF