Task Handoff Between Humans and Automation

Abstract

The Department of Defense (DOD) seeks to incorporate human-automation teaming to decrease human operators cognitive workload, especially in the context of future vertical lift (FVL). Researchers created a "wizard of oz" study to observe human behavior changes as task difficulty and levels of automation increased. The platform used for the study was a firefighting strategy software game called C3Fire. Participants were paired with a confederate acting as an automated agent to observe the participant's behavior in a human-automation team. The independent variables were automation level (within; low, medium, high) and queuing (between; uncued, cued). The dependent variables were the number of messages transmitted to the confederate, the number of tasks embedded in those messages (tasks handed off), and the participant's self-reported cognitive workload score. The study results indicated that as the confederate increased its scripted level of automation, the number of tasks handed off to automation increased. However, the number of messages transmitted to automation and the subjective cognitive workload remained the same. The study's findings suggest that while human operators were able to bundle tasks, cognitive workload remained relatively unchanged. The results imply that the automation level may have less impact on cognitive workload than anticipated.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2021
Accession Number
AD1164878

Entities

People

  • Andrew J. Sr Brown
  • Jean'shay D. Moore
  • John R. Iv Folger
  • Johnathan W. Hardin
  • Quentin Sica

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Space

DTIC Thesaurus Topics

  • Accidents
  • Aircrafts
  • Cognitive Workload
  • Computers
  • Control Systems
  • Department Of Defense
  • Engineering
  • Heart Rate
  • Human Behavior
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Machine Interaction
  • Human-Machine Systems
  • Information Processing
  • Local Area Networks
  • Physical Activity
  • Psychology
  • Resource Management
  • Simulations
  • Situational Awareness
  • Systems Engineering

Fields of Study

  • Computer science

Readers

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