A context-dependent attention system for a social robot

被引：0

作者：

Breazeal, C ^{[1
]}

Scassellati, B ^{[1
]}

机构：

[1] MIT, Artificial Intelligence Lab, Cambridge, MA 02139 USA

来源：

IJCAI-99: PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 & 2 | 1999年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents part of an on-going project to integrate perception, attention, drives, emotions, behavior arbitration, and expressive acts for a robot designed to interact socially with humans. We present the design of a visual attention system based on a model of human visual search behavior from Wolfe (1994). The attention system integrates perceptions (motion detection, color saliency, and face pop-outs) with habituation effects and influences from the robot's motivational and behavioral state to create a context-dependent attention activation map. This activation map is used to direct eye movements and to. satiate the drives of the motivational system.

引用

页码：1146 / 1151

页数：6

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