Title
Handling multimodal dialogues for exploratory data analysis using charts
Abstract
A methodology is proposed for taking queries and requests expressed in natural language as input, and answering them in charts by organizing that interaction into appropriate dialogue. The objective of the research is to make it possible to interactively use charts and graphics, which, as well as languages, are important modes of communication, for analyzing huge amounts of data and for discovering its characteristics and tendencies. This paper shows that in such situations the correctness of the charts could be revealed by understanding the context, and proposes a framework to handle chart appropriateness through context processing. The core of the framework is a logical form that includes the specifications of users' perspectives and the proper treatment of the logical form for handling utterances and utterance fragments in contexts. The framework has been confirmed through an empirical study to be appropriate, and has been implemented. © 2005 Wiley Periodicals, Inc. Syst Comp Jpn, 36(8): 59–70, 2005; Published online in Wiley InterScience (). DOI 10.1002/scj.20298
Year
DOI
Venue
2005
10.1002/scj.v36:8
Systems and Computers in Japan
Keywords
Field
DocType
exploratory data analysis,logical form,chart appropriateness,appropriate dialogue,wiley interscience,wiley periodicals,multimodal dialogue,huge amount,context processing,inc. syst comp jpn,important mode,empirical study,information visualization
Graphics,Information visualization,Computer science,Correctness,Utterance,Logical form,Natural language,Artificial intelligence,Natural language processing,Exploratory data analysis,Empirical research,Machine learning
Journal
Volume
Issue
Citations 
36
8
3
PageRank 
References 
Authors
0.57
6
2
Name
Order
Citations
PageRank
Tsuneaki Kato127138.70
Mitsunori Matsushita213829.70