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AUTOPACE

AUTOMATION PACE

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EC-Contrib. €

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Partnership

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Project "AUTOPACE" data sheet

The following table provides information about the project.

Coordinator
CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E. 

Organization address
address: AVDA DE ARAGON 402 4 EDIFICIO ALLENDE
city: Madrid
postcode: 28022
website: www.crida.es

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

 Coordinator Country Spain [ES]
 Project website http://autopace.eu/
 Total cost 599˙867 €
 EC max contribution 599˙867 € (100%)
 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 2016-03-01   to  2018-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E. ES (Madrid) coordinator 195˙500.00
2    UNIVERSIDAD DE GRANADA ES (GRANADA) participant 125˙125.00
3    UNIVERSIDAD POLITECNICA DE MADRID ES (MADRID) participant 105˙625.00
4    Univerzitet u Beogradu - Saobracajni fakultet RS (Belgrade) participant 98˙805.00
5    ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA IT (BOLOGNA) participant 74˙812.00

Map

 Project objective

Automation effects on arousal could be predicted differently depending on the Attentional Theory. The classical Theory (Kahneman, 1973) considers the level of arousal reliant only on psychological factors (stress, fatigue and emotions). Automation would only affect the task complexity by allocating part of the cognitive processing to the system. Alternative theories such as Malleable Attentional Resources Theory (MART) (Young and Stanton, 2002) assumes that automation would also affect the level of arousal and be dependent on controller´s expectations: when the ATCo expects that the task is easy in the near future, she/he will reduce the arousal levels and get bored or sleepy (overconfidence on automation). On the contrary, fears of automation failing would increase stress and also the level of arousal causing disorientation, overacting or erratic behaviour. Based on these theories, AUTOPACE proposes basic research on a Psychological Model to quantitatively predict how automation would impact on human performance based on cognitive resources modeling (demanded and available), tasks characteristics (automation), psychological factors modeling (fatigue, stress and emotions) and ATCo expectations (overconfidence vs fears of automation). A catalogue of training strategies to support the controller being “in-the-loop” will be explored. For the classical Theory, the strategies only for keeping attention on the main task avoiding out-of-the-loop effect. For the MART the coach will be also for coping with stress. A reviewed Curricula and ATCo Selection will be initiated. Expert Judgment from Psychologists, ATM Experts and Controllers Trainers supported by Literature Research will look at future competences and training strategies. The research on Psychological Modeling will be also sustained with Analytical Studies by using an existing prototype for demanded resources. AUTOPACE points at research paths suggested in “Ergonomics in design” Issue (Hancock et all, April 2013).

 Deliverables

List of deliverables.
Final Project Results Report Documents, reports 2019-05-30 14:44:20
Preliminary Safety Hazard and Performance Assessment Documents, reports 2019-05-30 17:41:31
Competence and training requirements Documents, reports 2019-05-30 14:28:20
Dissemination and Exploitation plan Documents, reports 2019-05-30 17:41:26
Future Automation Scenarios Documents, reports 2019-05-30 17:41:30
Dissemination and Exploitation report Documents, reports 2019-05-30 17:41:28
ATCo Psychological Model with Automation Documents, reports 2019-05-30 17:41:28

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

 Publications

year authors and title journal last update
List of publications.
2017 FERNANDO GÓMEZ, ROSA ARNALDO, ALVARO RODRIGUEZ, DANIEL PEREZ Aerospace Systems, Air Transport and Airports Department,Universidad Politécnica de Madrid, Madrid, Spain JOSÉ JUAN CAÑAS, PEDRO FERREIRA Mind, Brain and Behaviour Research Centre, University of Granada, Granada, Spain EVA PUNTERO, PATRICIA LÓPEZ, ELENA LÓPEZ CRIDA A.I.E ATM R&D + Innovation Reference Centre, Madrid, Spain
AN AIR TRAFFIC CONTROLLER PSYCHOLOGICAL MODEL WITH AUTOMATION
published pages: 1187-1200, ISSN: 2523-5052, DOI:
Proceedings of the EASN Association Conference Series 7th EASN International Conferen 2019-06-13
2018 BOJANA MIRKOVIC, FEDJA NETJASOV, TATJANA KRSTIC SIMIC, OBRAD BABIC
Safety Risk Assessment in Future Automated Air Traffic Management System
published pages: 16, ISSN: , DOI:
Transportation Research Board Annual Meeting Online Transportation Research Board ( 2019-06-13

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

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