Explore the words cloud of the AUTOPACE project. It provides you a very rough idea of what is the project "AUTOPACE" about.
The following table provides information about the project.
Coordinator |
CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E.
Organization address contact info |
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 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
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 |
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).
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.
year | authors and title | journal | last update |
---|---|---|---|
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.