Coactive Design in Systems Engineering: Human-Machine Teaming in Search and Rescue (SAR) Operations

Abstract

Coactive Design is a process that addresses the increasingly complex roles that humans and robots play in modern digitalized systems. It analyzes the interdependencies between members in human-robot teamwork and optimizes interactive collaboration to support the teams overall capabilities. The process endeavors to provide designers and industry players with the necessary analysis tools and techniques tomove the industry away from robot-centric automation in which the traditional goal has been for robots to perform required tasks independently from the team. The two outcomes of this thesis are (1) the proposal of an integrated Coactive Systems Engineering Design (COSEED) framework to guide the development of more effective human-machine teaming (HMT) systems and (2) a development exercise for an HMT system to demonstrate the potential gains from the incorporation of the Coactive Design approach into the well-established systems engineering process in the field of inland search and rescue. These result in new findings in how both systems engineering and Coactive Design could be adapted to better complement each other.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2021
Accession Number
AD1164483

Entities

People

  • Jia E. Tai

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Cognitive Systems Engineering
  • Command And Control
  • Complex Systems
  • Control Systems
  • Department Of Defense
  • Engineering
  • Global Positioning Systems
  • Human Systems Integration
  • Human-Machine Interaction
  • Human-Machine Systems
  • Model Based Systems Engineering
  • Natural Disasters
  • System Of Systems
  • Systems Engineering
  • Systems Modeling Language
  • Test And Evaluation
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Fields of Study

  • Computer science
  • Engineering

Readers

  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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