Human Factors Training

Human Factors For RPAS – Introduction
Establish foundational understanding of human capabilities, limitations, and their impact on system performance.

Audience : Managers, Operators, Engineers

Duration: 2h

Course Outline:

  • Definition and scope of Human Factors (HF)
  • Historical context: HF in aviation and automation
  • The SHELL model and its relevance to RPAS
  • Human performance variability and error types
  • Importance of HF in safety-critical systems

Specific Human Factors Considerations for RPAS
Explore unique HF challenges in RPAS operations

Audience : Managers, Operators, Engineers

Duration: 2h

Course Outline:

  • Remote operation and physical separation from aircraft
  • Cognitive demands of teleoperation and delayed feedback
  • Workload variability across mission phases
  • Trust and over-reliance on automation
  • Fatigue and vigilance in long-duration missions
  • Ethical and legal implications of remote decision-making

Human-Machine Interface (HMI) Considerations
Examine interface design principles that support safe and effective RPAS operation

Audience : Managers, Operators, Engineers

Duration: 2h

Course Outline:

  • Principles of intuitive HMI design (e.g., consistency, feedback, affordance)
  • Display layout and information prioritisation
  • Alerting systems: minimising nuisance alarms and missed alerts
  • Control inputs: latency, precision, and feedback mechanisms
  • Interface customisation for different mission types
  • Case studies of HMI failures and redesign

Recongnising Threats and Errors
Equip participants with tools to identify and mitigate operational risks.

Audience : Managers, Operators, Engineers

Duration: 2h

Course Outline:

  • Threat and Error Management (TEM) framework
  • Common threats in RPAS environments (e.g., signal loss, miscommunication)
  • Types of human error: slips, lapses, mistakes, violations
  • Error detection and recovery strategies
  • Role of checklists and standard operating procedures
  • Real-world incident analysis and lessons learned

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