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Preliminary Findings on how to Mitigate Negative Impacts of Monitoring High Levels of Automation

De Crescenzio, Francesca and Di Flumeri, Gianluca and Ohneiser, Oliver and Kraemer, Jan and Berberian, Bruno and Bagassi, Sara and Sciaraffa, Nicolina and Aricò, Pietro and Borghini, Gianluca and Babiloni, Fabio (2017) Preliminary Findings on how to Mitigate Negative Impacts of Monitoring High Levels of Automation. SESAR Innovation Days 2017, 28. - 30. Nov. 2017, Belgrad, Serbien.

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Abstract

The MINIMA (Mitigating Negative Impacts of Monitoring high levels of Automation) project assumes that air traffic controllers in the future will have to operate in a highly automated environment through dedicated HMIs (Human Machine Interfaces). It is expected that such controllers will perform a role with significantly more monitoring portion than today. However, this raises the risk of a lack of involvement and OOTL (Out-Of-The-Loop) effects. Therefore, the MINIMA team has conceived a system to control and mitigate such OOTL effect. In order to demonstrate such concept an experimental simulation set-up has been designed. Such set-up comprises two parts: 1) a Task Environment comprising a TMA (Terminal Maneuvering Area) Simulator as well as 2) a Vigilance and Attention Controller based on neurophysiological data recording such as EEG and eye-tracking devices. By measuring the actual level of controllers’ attention while operating in a highly automated environment, adaptive automation systems are triggered in order to mitigate the negative effects of automation. This paper describes the system implemented to run the experiments needed to demonstrate and validate the MINIMA concept. Moreover, results coming from a preliminary set of tests that have been conducted in order to tune the Vigilance and Attention Controller are reported.

Item URL in elib:https://elib.dlr.de/116167/
Document Type:Conference or Workshop Item (Poster)
Title:Preliminary Findings on how to Mitigate Negative Impacts of Monitoring High Levels of Automation
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
De Crescenzio, Francescafrancesca.decrescenzio (at) unibo.itUNSPECIFIED
Di Flumeri, Gianlucagianluca.diflumeri (at) brainsigns.comUNSPECIFIED
Ohneiser, Oliveroliver.ohneiser (at) dlr.dehttps://orcid.org/0000-0002-5411-691X
Kraemer, Janjan.kraemer (at) dlr.deUNSPECIFIED
Berberian, Brunobruno.berberian (at) onera.frUNSPECIFIED
Bagassi, Sarasara.bagassi (at) unibo.itUNSPECIFIED
Sciaraffa, Nicolinanicolina.sciaraffa (at) uniroma1.itUNSPECIFIED
Aricò, Pietropietro.arico (at) brainsigns.comUNSPECIFIED
Borghini, Gianlucagianluca.borghini (at) uniroma1.itUNSPECIFIED
Babiloni, FabioFabio.Babiloni (at) uniroma1.itUNSPECIFIED
Date:November 2017
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Human Factors, Human Centered Automation, Adaptive Automation, Air Traffic Management, Neuropsychology, Vigilance, Electroencephalography, Machine Learning
Event Title:SESAR Innovation Days 2017
Event Location:Belgrad, Serbien
Event Type:international Conference
Event Dates:28. - 30. Nov. 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Human factors and safety in Aeronautics
Location: Braunschweig
Institutes and Institutions:Institute of Flight Control > Systemergonomy
Institute of Flight Control > Controller Assistance
Deposited By: Kraemer, Jan
Deposited On:30 Nov 2017 12:00
Last Modified:30 Nov 2017 12:00

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