Regulation and Entrainment in Human-Robot Interaction

Abstract

Newly emerging robotics applications for domestic or entertainment purposes are slowly introducing autonomous robots into society at large. A critical capability of such robots is their ability to interact with humans, and in particular, untrained users. This paper explores the hypothesis that people will intuitively interact with robots in a natural social manner provided the robot can perceive, interpret, and appropriately respond with familiar human social cues. Two experiments are presented in which naive human subjects interact with an anthropomorphic robot. Evidence for mutual regulation and entrainment of the interaction is presented, and how the benefits the interaction as a whole is discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADA434689

Entities

People

  • Cymthia Breazeal

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classification
  • Data Sets
  • Energy
  • Entrainment
  • Failure Mode And Effect Analysis
  • Feature Selection
  • Feedback
  • Health Care
  • High Energy
  • Intensity
  • Language
  • Machine Learning
  • Mechanical Engineering
  • Robots
  • Speech
  • Test Sets

Readers

  • Educational Psychology
  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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