Infant-Like Social Interactions Between a Robot and a Human Caregiver

Abstract

From birth human infants are immersed in a social environment that allows them to learn by leveraging the skills and capabilities of their caregivers. A critical pre-cursor to this type of social learning is the ability to maintain interaction levels that are neither overwhelming nor under-stimulating. In this paper we present a mechanism for an autonomous robot to regulate the intensity of its social interactions with a human. Similar to the feedback from infant to caregiver the robot uses expressive displays to modulate the interaction intensity. This mechanism is integrated within a general framework that combines perception attention drives emotions behavior selection and motor acts. We present a specific implementation of this architecture that enables the robot to react appropriately to both social stimuli (faces) and non-social stimuli (moving toys) while maintaining a suitable interaction intensity. We present results from both face-to-face interactions and interactions mediated through a toy.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA450357

Entities

People

  • Brian Scassellati
  • Cynthia Breazael

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Caregivers
  • Cognition
  • Computational Processes
  • Computer Graphics
  • Computer Science
  • Computer Vision
  • Control Systems
  • Detection
  • Detectors
  • Eye
  • Heat Of Activation
  • Motor Skills
  • New York
  • Psychology
  • Social Environment

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design

Technology Areas

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