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STRESS SIGNED

Human Performance neurometricS Toolbox foR highly automatEd Systems deSign

Total Cost €

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EC-Contrib. €

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Partnership

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Project "STRESS" data sheet

The following table provides information about the project.

Coordinator
DEEP BLUE SRL 

Organization address
address: VIA ENNIO QUIRINO VISCONTI 8
city: ROMA
postcode: 193
website: http://www.dblue.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website http://www.stressproject.eu
 Total cost 644˙821 €
 EC max contribution 596˙875 € (93%)
 Programme 1. H2020-EU.3.4.7.1 (Exploratory Research)
 Code Call H2020-SESAR-2015-1
 Funding Scheme SESAR-RIA
 Starting year 2016
 Duration (year-month-day) from 2016-06-15   to  2018-06-14

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DEEP BLUE SRL IT (ROMA) coordinator 175˙000.00
2    UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA IT (ROMA) participant 162˙500.00
3    ECOLE NATIONALE DE L AVIATION CIVILE FR (TOULOUSE) participant 155˙000.00
4    ANADOLU UNIVERSITY TR (ESKISEHIR) participant 104˙375.00
5    EUROCONTROL - EUROPEAN ORGANISATION FOR THE SAFETY OF AIR NAVIGATION BE (BRUXELLES) participant 0.00

Map

 Project objective

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.

 Deliverables

List of deliverables.
Project Results Final Report Documents, reports 2019-02-25 18:31:49
Dissemination, Exploitation, and Communication Report Documents, reports 2019-05-30 15:09:19

Take a look to the deliverables list in detail:  detailed list of STRESS deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 G. Borghini, P. Aricò, G. Di Flumeri, N. Sciaraffa, A. Colosimo, M.T. Herrero, A. Bezerianos, N. Thakor, F. Babiloni,
A New Perspective for the Training assessment: Machine learning based neurometric for augmented user\'s evaluation
published pages: , ISSN: 0302-9743, DOI:
Frontiers in Neuroscience 11, 2017 2019-06-13
2018 P. Aricò, G. Borghini, G. Di Flumeri, A. Colosimo, S. Bonelli, A. Golfetti, S. Pozzi, J.P. Imbert, G. Granger, R. Benhacene, F. Babiloni
Adaptive Automation Triggered by EEG-Based Mental Workload Index: A Passive Brain-Computer Interface Application in Realistic Air Traffic Control Environment
published pages: , ISSN: 0302-9743, DOI:
Frontiers in Neuroscience 10, 2018 2019-06-13
2017 U. Turhan, B. Açıkel, T.Güneş
Discussion on automation Effects for Human Operator\'s Performance in the Aviaiton
published pages: , ISSN: , DOI:
Proceedings of 1st International Symposium on Multidisciplinary Studies and Innovative Technologies, 2-4 November 2017 Tokat, Türkiye. 2019-06-13
2016 Paola Tomasello, Martina Ragosta
The STRESS project (human performance neurometricS Toolbox foR highly automatEd Systems deSign) - Poster
published pages: , ISSN: , DOI:
The Sixth SESAR Innovation Days 2019-06-13
2017 the STRESS Consortium
EUROCONTROL news about the first STRESS validation in AU
published pages: , ISSN: , DOI:
2019-06-13
2017 Paola Tomasello, Martina Ragosta, Stefano Bonelli
ANACNA press release about STRESS workshop in Padua (in italian)
published pages: , ISSN: , DOI:
official ANACNA online journal 2019-06-13
2017 SESAR JU
SESAR e-news about research in ATM
published pages: , ISSN: , DOI:
2019-06-13
2017 the STRESS Consortium
SESAR news about the first STRESS validation in AU
published pages: , ISSN: , DOI:
SESAR website 2019-06-13
2017 the STRESS Consortium
Development of Neurometrics for Selective Attention Evaluation in ATM
published pages: , ISSN: , DOI:
SID 2017 proceedings 2019-06-13
2017 Jeremy VanDomelen
Automation Effect
published pages: , ISSN: , DOI:
Air Traffic Control magazine 4 issues per year 2019-06-13

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The information about "STRESS" are provided by the European Opendata Portal: CORDIS opendata.

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