An Investigation of Aptitude Requirements for Human Operators in Human-Automation Interaction

Abstract

The purpose of this effort was to identify individual differences that affect Airmen aptitude requirements for jobs involving autonomous systems and human-automation interaction (HAI). This was addressed in two stages. First, we conducted a literature review of task demands and operator states relevant to HAI. Based on this review, we propose a model for understanding performance as a composite of operator states, operator behaviors, and distal outcomes. Second, we conducted a meta-analysis of correlations between individual differences and the elements of this model. Results from the meta-analysis suggest cognitive skills such as working memory are important to performance in an HAI context. Results for personality suggest the presence of moderators. We conclude by identifying measurement challenges and research gaps.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2020
Accession Number
AD1098145

Entities

People

  • Anthony Gibson
  • Michael F. Brady
  • Thomas R. Carretta
  • Zakia S. Shermadou

Organizations

  • Infoscitex Corporation

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Applied Psychology
  • Autonomous Systems
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Data Analysis
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Machine Systems
  • Human-Robot Interaction
  • Military Research
  • Psychology
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Systems

Readers

  • Psychometric Testing or Psychological Assessment.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction