Adapting Autonomous Behavior Using an Inverse Trust Estimation

Abstract

Robots are added to human teams to increase the team's skills or capabilities. To gain the acceptance of the human teammates it may be important for the robot to behave in a manner that the teammates consider trustworthy. We present an approach that allows a robot's behavior to be adapted so that it behaves in a trustworthy manner. The adaptation is guided by an inverse trust metric that the robot uses to estimate the trust a human teammate has in it. We evaluate our method in a simulated robotics domains and demonstrate how the agent can adapt to a teammate's preferences.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2014
Accession Number
ADA602861

Entities

People

  • David W. Aha
  • Michael Drinkwater
  • Michael W. Floyd

Organizations

  • Knexus Research (United States)

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Autonomous Agents
  • Autonomous Systems
  • Command And Control
  • Computational Science
  • Human-Robot Interaction
  • Military Operations
  • Military Research
  • Motion Planning
  • Probability
  • Robots
  • Simulations
  • Statistics
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Neural Network Machine Learning.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy