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