Three-layered draw-attention model for humanoid robots with gestures and verbal cues

Osamu Sugiyama, Takayuki Kanda, Michita Imai, Hiroshi Ishiguro, Norihiro Hagita

研究成果: Conference contribution

27 被引用数 (Scopus)

抄録

When we talk about objects in an environment, we indicate to a listener which object is currently under consideration by using pointing gesture and such reference terms as "this" and "that". Such reference terms play an important role in human interaction by quickly informing the listener of an indicated object's location. In this research, we propose a three-layered draw-attention model for humanoid robots with gestures and verbal cues. Our proposed three-layered model consists of three sub models: Reference Term Model (RTM), Limit Distance Model (LDM) and Object Property Model (OPM). RTM decides an appropriate reference term using functions constructed by an analysis of human behavior. LDM decides whether to use the object's property with a reference term. OPM decides the appropriate property for indicating the object by comparing object properties with each other. We developed an attention drawing system in a communication robot named "Robovie" based on the three layered model. We confirmed its effectiveness through the experiments.

本文言語English
ホスト出版物のタイトル2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
出版社IEEE Computer Society
ページ2423-2428
ページ数6
ISBN(印刷版)0780389123, 9780780389120
DOI
出版ステータスPublished - 2005

出版物シリーズ

名前2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 人間とコンピュータの相互作用
  • 制御およびシステム工学

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