• 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