Model-Based Assessment of Adaptive Automations Unintended Consequences

Abstract

Recent technological advances require development of human-centered principles for their inclusion into complex systems. While such programs incorporate revolutionary hardware and software advances, there is a necessary space for including human operator design considerations, such as cognitive workload. As technologies mature, it is essential to understand the impacts that these emerging systems will have on cognitive workload. Adaptive automation is a solution that seeks to manage cognitive workload at optimal levels. Human performance modeling shows potential for modeling the effects of adaptive automation on cognitive workload. However, the introduction of adaptive automation into a system can also present unintended negative consequences to an operator.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2023
Accession Number
AD1213615

Entities

People

  • Charles P. Rowan

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Cognition
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Health Services
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Human-Machine Systems
  • Information Processing
  • Medical Personnel
  • Psychology
  • Psychophysiology
  • Situational Awareness
  • Systems Engineering
  • Task Performance And Analysis
  • User Interface

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Aviation Safety and Air Traffic Management
  • Systems Analysis and Design

Technology Areas

  • Space