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Human–machine teaming in the hangar

How automation, digital task cards, augmented reality, drones and AI decision aids change maintenance error, and how to design the human role, train for it, protect people's data and prove the tool works. 2026 edition. Part 4 of the Human factors in maintenance series.

By Aerospace Garage Desk · What's next · 45 minutes · 24 narrated pages

  1. Part 1 · Basics

    Human error in maintenance

  2. Part 2 · In practice

    Error-proofing a shift

  3. Part 3 · Managing it

    Human factors programmes: training, culture and knowledge capture

  4. Part 4 · What's next

    Human–machine teaming in the hangarYou are here

Human factors in maintenance · all 4 parts US$59 (save US$12) · See the Flight Path →

What you will be able to do

  • ✓ Explain how new maintenance tools change error types, and recognise automation bias, complacency, de-skilling, mode confusion and trust miscalibration.
  • ✓ Design the human role around a tool, with decision rights, alerting, override, recovery and genuinely independent checks.
  • ✓ Apply the lessons of the AAIB investigation into G-REDL (AAR 2/2011) to the design of alerting tools and the calibration of trust.
  • ✓ Control digital task cards and augmented reality instructions against state confusion and attention errors, under 145.A.45(d) and (e).
  • ✓ Plan workload for degraded mode and run fatigue wearable or monitoring projects within data protection and EU AI Act rules.
  • ✓ Train people for new tools and measure fairly whether a tool reduced error, in the light of regulators' positions in 2026.

Course content

Session 1 · Human–machine teaming: what changes in the hangar

1.1

  1. New tools, new errors · free preview
  2. Levels of automation and the human role
  3. The new error types
  4. Worked example: sorting Nakdong's tool register
Session 2 · Automation bias, complacency and trust

1.2

  1. When alerts cry wolf, and when they go quiet
  2. Complacency and keeping people in the loop
  3. Calibrating trust
  4. From the investigation file: G-REDL and the alert that never appeared
Session 3 · Designing the human role: who decides, who checks

1.3

  1. Who decides? Allocating the work
  2. Decision rights, override and recovery
  3. Independent checks with a tool in the loop
  4. Worked example: designing the role for a borescope image assistant
Session 4 · Digital task cards, augmented reality and mode confusion

1.4

  1. Digital task cards: what really changes
  2. Mode confusion and state awareness
  3. Augmented reality work instructions
  4. Worked example: a usability trial of a headset wheel change
Session 5 · Workload, fatigue, wearables and privacy

1.5

  1. New workload, new fatigue
  2. Planning for the tool being down
  3. Wearables and data: the privacy line
  4. Worked example: designing a fatigue wearable pilot
Session 6 · Training, measuring effect and what comes next

1.6

  1. Training for new tools
  2. Did the tool really reduce error?
  3. Where regulators stand in late 2026
  4. Worked example: cross-checking a vendor's claim

Who this course is for

Upskill courses are for professional development and are not approved by any aviation authority. Learner Terms

Course content © Aerospace Garage Limited. All rights reserved.