Discovering Patterns in Human-Robot Interaction: New Tools for Complex Adaptive Social Systems - UQ part

Abstract

Robots are increasingly included as team members in a range of cooperative team tasks, thereby creating a need for advanced analysis methods to understand their interaction dynamics. This proposal aims to develop an Interactive Systems Toolkit incorporating novel qualitative and quantitative analysis techniques, to analyze open data sets from the fields of human-robot interactions and social neuroscience, and to develop robots that function as cooperative team members. The project is expected to result in the discovery of principles of effective human-robot teams and algorithms for their evaluation.

Document Details

Document Type
DoD Grant Award
Publication Date
May 02, 2017
Source ID
FA23861714007

Entities

People

  • Janet Wiles

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Queensland

Tags

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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