Title :
Articulate: a conversational interface for visual analytics
Author :
Sun, Yiwen ; Leigh, Jason ; Johnson, Andrew ; Chau, Dennis
Author_Institution :
Electron. Visualization Lab., Univ. of Illinois at Chicago, Chicago, IL, USA
Abstract :
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.
Keywords :
data visualisation; natural language processing; speech-based user interfaces; articulate; conversational user interface; heuristics; natural language processing; semiautomated visual analytic model; visualization tools; Data visualization; Electronic mail; Graphics; Laboratories; Natural language processing; Natural languages; Speech recognition; Sun; User interfaces; Visual analytics; Graphical user interfaces; H.5.2 [Information Interfaces and Presentation]: User Interfaces;
Conference_Titel :
Visual Analytics Science and Technology, 2009. VAST 2009. IEEE Symposium on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
978-1-4244-5283-5
DOI :
10.1109/VAST.2009.5333099