End-User Programming for Human-Machine Teaming

Abstract

This research aims to improve the ability of machines to work as partners with teams of human participants, by extending the ability of the machine to accept guidance and feedback from human team members. The PI intends to do so by building upon the fields of End-User Programming and multi-strategy reasoning-learning, which aims to make advances in human-computer interactions (e.g., human-machine teaming).

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 25, 2023
Source ID
FA95502110003

Entities

People

  • Randall Davis

Organizations

  • Air Force Office of Scientific Research
  • Massachusetts Institute of Technology
  • United States Air Force

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Organizational Process Management (OPM).