Articulate

Articulate

Author: 
Sun, Yiwen
Place: 
Hershey, PA
Publisher: 
IGI Global
Date published: 
2013
Responsibility: 
Leigh, Jason, jt. author
Johnson, Andrew, jt. author
Editor: 
Lin Huang, Mao
Source: 
Innovative Approaches of Data Visualization and Visual Analytics
Abstract: 

This chapter presents an approach to enable non-visualization experts to craft advanced visualizations through the use of natural language as the primary interface. The main challenge in this research is in determining how to translate imprecise verbal queries into effective visualizations. To demonstrate the viability of the concept, the authors developed and evaluated a prototype, Articulate, which allows users to simply ask the computer for questions about their data and have it automatically generate visualizations that answer these questions. The authors discovered that by relieving the user of the burden of learning how to use a complex interface, they enable them to focus on articulating better scientific questions and wasting less time in producing unintended visualizations.

Series: 
Advances in Data Mining and Database Management

CITATION: Sun, Yiwen. Articulate edited by Lin Huang, Mao . Hershey, PA : IGI Global , 2013. Innovative Approaches of Data Visualization and Visual Analytics - Available at: https://library.au.int/articulate