Characterization of Decision Making Behaviors Associated with Human Systems Integration (HSI) Design Tradeoffs: Subject Matter Expert Interviews

Abstract

The objective of this research was to characterize the naturalistic decision making process used in Naval Aviation acquisition to assess cost, schedule and performance tradeoffs within and between Human Systems Integration (HSI) domains. Audio taped critical decision method interviews were conducted with volunteer subject matter experts (SMEs) who have performed HSI tradeoff analyses. A content analysis was performed on the transcribed data to characterize the primary macrocognition functions used in HSI tradeoff decisions. Decision requirements tables based on the interview transcripts were also created and verified through a second round of SME interviews. Finally, a list of knowledge, experience and capabilities considered by the SMEs to be required for successful HSI tradeoff decisions was generated. Using the results of this research, knowledge, skills and abilities (KSAs) specific to Naval Aviation acquisitions can be identified, which can support the future development of new processes and tools for training and decision making for HSI professionals within the Naval Aviation Enterprise (NAE).

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Document Details

Document Type
Technical Report
Publication Date
Nov 18, 2014
Accession Number
ADA612895

Entities

People

  • Karen S. Holness

Organizations

  • Naval Air Warfare Center

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Cognition
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Engineering
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Machine Interfaces
  • Information Systems
  • Naval Aviation
  • Personnel Management
  • Psychology
  • Reliability
  • Systems Engineering
  • Test And Evaluation
  • Training

Readers

  • Organizational Process Management (OPM).
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.