Perspective-taking with Robots: Experiments and models

Abstract

We suggest that to enable effective human-robot interaction, robots should be able to interact in a way that is natural to and preferred by humans. Using human-compatible representations and reasoning mechanisms should help in developing skills which support effective human-robot interaction. In this paper, we present two studies that examine a critical human-robot-interaction component: perspective-taking. We find that when a person asks a robot to perform a task with some ambiguity to the robot, the person prefers the robot to either ask for clarification or take the person's perspective and act appropriately.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2005
Accession Number
ADA480522

Entities

People

  • Alan C. Schultz
  • Farilee Mintz
  • J. Gregory Trafton
  • Magdalena Bugajska

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Ambiguity
  • Collision Avoidance
  • Control Systems
  • Human-Machine Interaction
  • Human-Robot Interaction
  • Information Operations
  • Military Research
  • Motion Planning
  • Navigation
  • Psychological Phenomena And Processes
  • Range Finders
  • Reasoning
  • Robots
  • Simulations
  • Standards
  • Teamwork

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Strategic Security Studies
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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