Task Analysis and Workload Prediction Model of the MH-60K Mission and a Comparison with UH-60A Workload Predictions. Volume 3. Appendixes H through N

Abstract

For this research, a mission scenario was used to conduct a comprehensive task analysis for MH-60K operations. The analysis used a top-down approach to identify 5 phases, 15 segments, 71 functions, and 230 tasks for the mission. Also, the crewmember performing each task was identified, and estimates of the task durations and the sensory, cognitive, and psychomotor workload associated with the tasks were derived. The mission/task/workload analysis data were used to develop a computer model of workload for MH-60K crewmembers. The model used a bottom-up approach to build mission functions from tasks and mission segments from functions. Decision rules were written to specify the procedure for combining tasks into functions and functions into segments. The model permitted an analysis of total workload experienced by the pilot and copilot in the performance of both sequential and concurrent tasks. The predicted workload for the MH-60K pilot and copilot was compared to the UH-60A baseline workload prediction to determine the impact of the MH-60K advanced technology. The comparison indicated very little difference in the predicted workload for the pilot and lower predicted workload for the copilot in the MH- 60K.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1990
Accession Number
ADA229408

Entities

People

  • Carl R. Bierbaum
  • David B. Hamilton

Tags

Communities of Interest

  • Air Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Aircrafts
  • Classification
  • Computers
  • Databases
  • Display Systems
  • Flight
  • Frequency
  • Fuel Consumption
  • Images
  • Military Research
  • Plastic Explosives
  • Radar Images
  • Refueling In Flight
  • Security
  • Social Sciences
  • Task Performance And Analysis
  • Workload

Fields of Study

  • Computer science

Readers

  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation