Trust-Guided Behavior Adaptation Using Case-Based Reasoning

Abstract

The addition of a robot to a team can be difficult if the human teammates do not trust the robot. This can result in underutilization or disuse of the robot, even if the robot has skills or abilities that are necessary to achieve team goals or reduce risk. To help a robot integrate itself with a human team, we present an agent algorithm that allows a robot to estimate its trustworthiness and adapt its behavior accordingly. As behavior adaptation is performed, using case-based reasoning (CBR), information about the adaptation process is stored and used to improve the efficiency of future adaptations.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2015
Accession Number
AD1001621

Entities

People

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

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Intelligence
  • Control Systems
  • Detection
  • Detectors
  • Environment
  • Explosive Devices
  • Human Factors Engineering
  • Human-Robot Interaction
  • Military Research
  • Motion Planning
  • Random Walk
  • Reasoning
  • Robotics
  • Robots
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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