A Context-Dependent Attention System for a Social Robot

Abstract

This paper presents part of an ongoing project to integrate perception, attention, drives, emotions, behavior arbitration, and expressive acts for a robot designed to interact socially with humans. The authors 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 (e.g., 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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA434824

Entities

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Competition
  • Computer Vision
  • Control Systems
  • Detection
  • Detectors
  • Eye
  • Eye Movements
  • High Resolution
  • Human Behavior
  • Intensity
  • Motivation
  • Perception
  • Robotics
  • Robots
  • Template Patterns

Fields of Study

  • Computer science
  • Psychology

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Vision.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Human-Robot Interaction