Human-Like Conversation with Gestures and Verbal Cues based on Three-Layer Attention-drawing Model
نویسندگان
چکیده
When we talk about objects in an environment, we indicate to a listener which object is currently under consideration by using pointing gestures and 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-layer attention-drawing model for humanoid robots that incorporates gestures and verbal cues. Our proposed three-layer model consists of three sub-models: the Reference Term Model (RTM), the Limit Distance Model (LDM), and the Object Property Model (OPM). The RTM selects an appropriate reference term using functions constructed by an analysis of human behavior. The LDM decides whether to use another property of the object, such as color, with a reference term for identifying the object. The OPM determines the most appropriate property for indicating the object by comparing object properties with each other. We have developed an attentiondrawing system in a communication robot named ‘Robovie’ based on this model. We confirmed its effectiveness through experiments.
منابع مشابه
Humanlike conversation with gestures and verbal cues based on a three-layer attention-drawing model
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