Human Performance neurometrics toolbox for highly automated systems design

To support the transition to higher automation levels in aviation, by addressing, analysing and mitigating its impact on the Human Performance aspects associated to the future role of Air Traffic Controllers

Neurophysiologic indexes

To identify and validate neurophysiological indicators for monitoring in real-time the controllers’ mental state

Automation impact

To use them to study the impact of advanced highly automated systems on controllers’ performance

Future automations

To provide automation design guidelines to support human performance during safe transitions from high levels of automation to low levels, and vice versa

Results presentation

STRESS and MOTO Consortia are glad to invite you to attend their final dissemination event. The event is named “Keeping the Human in the loop in the Digital ATM Era” and it will be hosted by ENAC [...]

June 2016

Project progress

June 2018

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