An Empirical Methodology for Engineering Human Systems Integration

Abstract

The systems engineering technical processes are not sufficiently supported by methods and tools that quantitatively integrate human considerations into early system design. Because of this, engineers must often rely on qualitative judgments or delay critical decisions until late in the system lifecycle. Studies reveal that this is likely to result in cost, schedule, and performance consequences. This dissertation presents a methodology to improve the application of systems engineering technical processes for design. This methodology is mathematically rigorous, is grounded in relevant theory, and applies extant human subjects data to critical systems development challenges. The methodology is expressed in four methods that support early systems engineering activities: a requirements elicitation method, a function allocation method, an input device design method, and a display layout design method. These form a coherent approach to early system development. Each method is separately discussed and demonstrated using a prototypical system development program. In total, this original and significant work has a broad range of systems engineer applicability to improve the engineering of human systems integration.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2009
Accession Number
ADA511419

Entities

People

  • Nicholas S. Hardman

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Engineered Resilient Systems
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Equipment
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Engineers
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Machine Interfaces
  • Industrial Engineering
  • Mechatronic Engineering
  • Organizational Structure
  • Psychology
  • System Of Systems
  • Systems Engineering
  • Warning Systems

Fields of Study

  • Computer science
  • Engineering

Readers

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