DocumentCode
2185397
Title
5W viewpoints associative topic search for networked conversation support system
Author
Kusumura, Yukitaka ; Mizuguchi, Hironori ; Kusui, Dai ; Ishizawa, Yoshio ; Muraoka, Yusuke
Author_Institution
Common Platforms Software Res. Labs., NEC Corp., Ikoma, Japan
fYear
2010
fDate
2-5 March 2010
Firstpage
165
Lastpage
166
Abstract
To build up spontaneous conversation, it is important to select topics without a feeling of strangeness. When someone notices others are not interested in a topic, he/she tries to find a new topic. Then, he/she thinks of viewpoints of the conversation and selects a topic associated with the current topic from the viewpoints. To automate viewpoint-based topic selection, we present 5W viewpoint associative topic search. The method estimates the weights of 5W viewpoints (who, what, where, when and why) from conversation, to use an appropriate similarity to search for the next topic.
Keywords
human factors; human-robot interaction; linguistics; 5W viewpoints associative topic search; networked conversation support system; viewpoint-based topic selection; Aging; Architecture; Cities and towns; Crawlers; Humans; Laboratories; National electric code; Psychology; Robots; Wikipedia; Conversation support; topic search and associative search;
fLanguage
English
Publisher
ieee
Conference_Titel
Human-Robot Interaction (HRI), 2010 5th ACM/IEEE International Conference on
Conference_Location
Osaka
Print_ISBN
978-1-4244-4892-0
Electronic_ISBN
978-1-4244-4893-7
Type
conf
DOI
10.1109/HRI.2010.5453212
Filename
5453212
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