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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
Pages2140-2145
Number of pages6
DOIs
Publication statusPublished - 2005 Dec 1
Externally publishedYes
EventIEEE IRS/RSJ International Conference on Intelligent Robots and Systems, IROS 2005 - Edmonton, AB, Canada
Duration: 2005 Aug 22005 Aug 6

Publication series

Name2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Other

OtherIEEE IRS/RSJ International Conference on Intelligent Robots and Systems, IROS 2005
CountryCanada
CityEdmonton, AB
Period05/8/205/8/6

Keywords

  • Human-robot interaction
  • Human-robot interface
  • Humanoid robot

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Control and Systems Engineering

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    Sugiyama, O., Kanda, T., Imai, M., Ishiguro, H., & Hagita, N. (2005). Three-layered draw-attention model for humanoid robots with gestures and verbal cues. In 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS (pp. 2140-2145). [1545293] (2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS). https://doi.org/10.1109/IROS.2005.1545293