DocumentCode :
3312794
Title :
Poster: Translating cross-filtered queries into questions
Author :
Nafari, Maryam ; Weaver, Chris
Author_Institution :
Center for Spatial Anal., Univ. of Oklahoma, Norman, OK, USA
fYear :
2010
fDate :
25-26 Oct. 2010
Firstpage :
245
Lastpage :
246
Abstract :
Complex combinations of coordinated multiple views are increasingly used to design tools for highly interactive visual exploration and analysis of multidimensional data. While complex coordination patterns provide substantial utility through expressive querying, they also exhibit usability problems for users when learning required interaction sequences, recalling past queries, and interpreting visual states. As visual analysis tools grow more sophisticated, there is a growing need to make them more understandable as well. Our long-term goal is to exploit natural language familiarity and literacy to directly facilitate individual and collaborative use of visual analysis tools. In this poster, we present work in progress on an automatically generated query-to-question user interface to translate interactive states during visual analysis into an accompanying visual log of formatted text. Our effort currently focuses on a symmetric and thus relatively simple coordination pattern: cross-filtered views. We describe our current thinking about query-to-question translation in a typical cross-filtered visualization of movies, people, and genres in the Internet Movie Database.
Keywords :
data analysis; data visualisation; information filtering; natural languages; query processing; question answering (information retrieval); Internet movie database; coordinated multiple views; cross-filtered visualization; interaction sequences; learning; multidimensional data; natural language; query-to-question translation; query-to-question user interface; visual analysis tools; visual exploration; visual log; visual state interpretation; Data visualization; Encoding; Internet; Motion pictures; Natural languages; Visualization; Weaving; Coordinated multiple views; cross-filtered queries; interaction states; natural language generation; visual provenance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4244-9488-0
Electronic_ISBN :
978-1-4244-9487-3
Type :
conf
DOI :
10.1109/VAST.2010.5650251
Filename :
5650251
Link To Document :
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