Adapting Autonomous Behavior Based on an Estimate of an Operator's Trust

Abstract

Robots can be added to human teams to provide improved capabilities or to perform tasks that humans are unsuited for. However, in order to get the full benefit of the robots the human teammates must use the robots in the appropriate situations. If the humans do not trust the robots, they may underutilize them or disuse them which could result in a failure to achieve team goals. We present a robot that is able to estimate its trustworthiness and adapt its behavior accordingly. This technique helps the robot remain trustworthy even when changes in context, task or teammates are possible.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA619046

Entities

People

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

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Systems
  • Computational Science
  • Feedback
  • Human Factors Engineering
  • Human-Robot Interaction
  • Information Operations
  • Military Research
  • Motion Planning
  • Robots
  • Search And Rescue

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Instructional Design and Training Evaluation.

Technology Areas

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