NDLI: Implementation and evaluation of the discussion support system MRV

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KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516)

1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410)

1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410)

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Implementation and evaluation of the discussion support system MRV

Content Provider	IEEE Xplore Digital Library
Author	Fujita, K. Kunifuji, S. Nishimoto, K. Sumi, Y. Mase, M.
Copyright Year	1999
Description	Author affiliation: NTT Commun. Sci. Labs., Japan (Fujita, K.)
Abstract	We present a method for visualizing the structure of a discussion in an electronic conference environment, and propose a prototype system called MRV (Multi-Relationship Viewer). MRV assists users in understanding the transitions of an argument and the whole argument structure by visualizing the relationship between the utterances from the view points of cause-and-effect and semantics. MRV provides the cause-and-effect view by using a tree structure, and the semantic view by using a spring model. The transition from one of the views to the other is seamless, enabling users to keep track of the flow of thinking. Results from a series of experiments proved that MRV can shorten the necessary time for users to grasp the transitions of an argument and the point at issue.
Starting Page	58
Ending Page	61
File Size	385253
Page Count	4
File Format	PDF
ISBN	0780355784
DOI	10.1109/KES.1999.820119
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-08-31
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Prototypes Tree data structures Springs Laboratories Decision making Intelligent systems Australia Marine vehicles
Content Type	Text
Resource Type	Article

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