Lesson 4D – Cognitive Risks

This lesson provides tools and heuristics based on principles in cognitive science that can be used to design and improve Human-Machine Interfaces (HMIs) for ease of use.

Learning Objectives
  • Describe the three key elements of the Model Human Processor
  • Explain what a GOMS model is, and identify two objectives that can be achieved using GOMS
  • Apply Fitts Law to design effective interfaces
  • Apply Hicks-Hyman Law to design effective interfaces
  • Use NASA TLX to evaluate subjective cognitive workload
Lesson 4D – Cognitive Risks Lesson Plan
Laboratory Exercise 4D – Hicks Law and the Nature of Choice
Laboratory Exercise 4D/4G – Fitts Law

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* NICE Cybersecurity Workforce Framework KSAs Addressed
  • K0004: * Knowledge of cybersecurity principles.
  • K0036: Knowledge of human-computer interaction principles.
  • S0010: Skill in conducting capabilities and requirements analysis.
  • S0134: Skill in conducting reviews of systems.
  • S0256: Skill in providing understanding of target or threat systems through the identification and link analysis of physical, functional, or behavioral relationships.
  • A0101: Ability to recognize and mitigate cognitive biases which may affect analysis.
  • A0116: Ability to prioritize and allocate cybersecurity resources correctly and efficiently.
  • A0118: Ability to understand technology, management, and leadership issues related to organization processes and problem solving.
* NSA/DHS Center of Excellence (CAE) KUs Addressed
  • Basic Data Analysis
  • Basic Scripting or Introductory Programming
  • Probability and Statistics
  • Industrial Control Systems

* Most courseware content maps to NIST NICE Cybersecurity Workforce Framework (NCWF) Knowledge, Skills, and Abilities (KSAs) and/or NSA/DHS CAE Knowledge Units (KUs). For more information on KSAs and KUs, please visit:

KSAs: http://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-181.pdf

KUs: https://www.iad.gov/NIETP/documents/Requirements/CAE-CD_2019_Knowledge_Units.pdf