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TRIMIS

Human Performance neurometricS Toolbox foR highly automatEd Systems deSign

PROJECTS
Funding
European
European Union
Duration
-
Status
Complete
Geo-spatial type
Other
Total project cost
€644 821
EU Contribution
€596 875
Project Acronym
STRESS
STRIA Roadmaps
Network and traffic management systems (NTM)
Transport mode
Airborne icon
Transport policies
Safety/Security
Transport sectors
Passenger transport,
Freight transport

Overview

Call for proposal
H2020-SESAR-2015-1
Link to CORDIS
Objectives

Europe ATM system is expected to face challenging situations, with the growth of traffic, the increase of its complexity (e.g. the RPAS introduction), the introduction of innovative concepts (such as 4D trajectories) and increased automation. The roles and tasks of controllers will change in the future and it is vital to enhance the comprehension of human response to changes in role, monitoring of complex situations, unexpected disruptions.

Controllers’ performance is recognised to be impacted by several aspects such as stress, emotions, attentional resources available, and so on. In the recent years the concept of Human Performance Envelope has been introduced in Human Factors. Rather than focusing on one or two individual factors, it considers a range of common factors in accidents and maps how they work alone or in combination to lead to a performance decrement that could affect safety.

To support the evolution of the future ATM system, the STRESS project proposes to address the objectives:

1. To align the HP envelope with the foreseen ATCO role in SESAR, mapping the relevance of HF concepts on the characteristics of the scenarios (e.g. less tactical interventions, high automation support, multi-sector operations, and so on).

2. To monitor in real-time via neurophysiological indexes the controllers’ mental status during monitoring tasks in different automation levels in SESAR step3. Indexes will be defined for the following cognitive and emotional aspects: Stress level, Attentional focus, Workload level, Emotional arousal, Startle effect.

3. To derive guidelines and methods to match the HP envelope status with the highest possible level of automation (keeping KPAs at least at the same level).

4. To monitor the controllers’ mental status during automation failure scenarios using the above indexes

5. To develop guidelines to support human performance during safe transitions from the higher levels of automation to the lower levels of automation, and viceversa.

Funding

Parent Programmes
Institution Type
Public institution
Institution Name
European Commission
Type of funding
Public (EU)
Specific funding programme
H2020-EU.3.4.7.1

Partners

Lead Organisation
Organisation
Deep Blue Srl
Address
Via Ennio Quirino Visconti 8, 193 Roma, Italy
EU Contribution
€175 000
Partner Organisations
Organisation
Anadolu University
Address
YUNUSEMRE KAMPUSU, 26470 ESKISEHIR, Turkey
Organisation website
EU Contribution
€104 375
Organisation
Eurocontrol - European Organisation For The Safety Of Air Navigation
Address
Rue De La Fusée 96, 1130 Bruxelles, Belgium
EU Contribution
€0
Organisation
Ecole Nationale De L Aviation Civile
Address
Avenue Edouard Belin 7, 31055 31055, France
Organisation website
EU Contribution
€155 000
Organisation
Universita Degli Studi Di Roma "la Sapienza"
Address
Piazzale Aldo Moro 5, 00185 ROMA, Italy
Organisation website
EU Contribution
€162 500

Technologies

Technology Theme
Unclassified
Technology
Non-technology

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