Three-Layer Model for Generation and Recognition of Attention-Drawing Behavior

- This paper presents a three-layer model for generation and recognition of attention-drawing behavior. The model enables a robot to recognize people’s attention-drawing behavior as well as to perform attention-drawing behavior to people. It consists of three layers: the PSM (Pointing Space Model), the RTM (Reference Term Model), and the OPM (Object Property Model). The PSM associates the pointing gesture with a reference term, the RTM associates positional relationships with a reference term, and the OPM associates other supplemental verbal cues with a reference term. We implemented the model in a humanoid robot, Robovie, and verified its effectiveness through an experiment.

• Type: Conference
• Year: 2006
• Where: IROS
• Authors: Osamu Sugiyama, Takayuki Kanda, Michita Imai, Hiroshi Ishiguro, Norihiro Hagita
• Keywords: Attention-drawing Behavior, IROS 2006, Reference Term, Reference Term Model, Robotics