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MItigating Negative Impacts of Monitoring high levels of Automation


Evaluation Results

This deliverable describes the conducted study and its results. Further the assessment of the MINIMA concept and improvements of the concept will be given.

Project Results Final Report

This report will describe the results of the project and dissemination activities

State of the Art Report

This Deliverable will present a description of the state of the art of • Operation concepts for monitoring high level of automation tasks • Concepts for tasks distribution including artificial tasks • Concepts for attention guidance support • Concepts for attention measurement using Brain Computer Interfaces

Evaluation Plan

This deliverable describes the planned evaluation. It contains the objectives of the evaluation, the evaluation procedure, the measurement and the scenario requirements.

Project Management Plan

This deliverable will establish the project management structure according to ER Project management guidelines and consortium agreement and refine the project concept and the internal project infrastructure.

Concept Description

This Deliverable will describe the concept behind the MINIMA project. It will describe • the highly automated TMA used as an example for a monitoring tasks in ATM and the assumptions made about the available automation • the measurement of the Attention Level of the Human Operator with a Brain-Computer-Interface • identified real tasks and defined artificial tasks that can be assigned to the human operator to increase his engagement in the monitoring tasks • attention guidance support, which may highlight certain aspects in the tasks environment dynamically to guide the attention of the operator • the concept for dynamic tasks distribution of the real and artificial tasks based on the measured attention level.

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MINIMA Project: Detecting and Mitigating the Negative Impact of Automation

Author(s): Bruno Berberian, Oliver Ohneiser, Francesca De Crescenzio, Fabio Babiloni, Gianluca Di Flumeri, Andreas Hasselberg
Published in: Engineering Psychology and Cognitive Ergonomics: Performance, Emotion and Situation Awareness., 2017, 2017, Page(s) 87-105
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-58472-0_8

MINIMA. MItigating Negative Impacts of Monitoring High Levels of Automation.

Author(s): Kraemer, Jan; Ohneiser, Oliver; De Crescenzio, Francesca; Berberian, Bruno
Published in: Agency Research Team workshop on Automation in Air Traffic Management, 2017
Publisher: -

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

Author(s): De Crescenzio, Francesca; Di Flumeri, Gianluca; Ohneiser, Oliver; Kraemer, Jan; Berberian, Bruno; Bagassi, Sara; Sciaraffa, Nicolina; Aricò, Pietro; Borghini, Gianluca; Babiloni, Fabio
Published in: SESAR Innovation Days, 2017
Publisher: Sesar Innovation Days

MINIMA. Vigilanz und Aufmerksamkeit als Trigger für Adaptive Automatisierung (english: MINIMA. Vigilance and Attention as a Trigger for Adaptive Automation)

Author(s): Kraemer, Jan; Ohneiser, Oliver; De Crescenzio, Francesca; Berberian, Bruno
Published in: German Aerospace Congress, 2017
Publisher: Deutsche Gesellschaft für Luft- und Raumfahrt

Experimental Simulation Set-Up for Validating Out-Of-The-Loop Mitigation when Monitoring High Levels of Automation in Air Traffic Control.

Author(s): Ohneiser, O., De Crescenzio, F., Di Flumeri, G., Kraemer, J., Berberian, B., Bagassi, S., Sciaraffa, N., Aricò, P., Borghini, G., Babiloni, F.
Published in: International Journal of Aerospace and Mechanical Engineering, 12 (4), 2018, Page(s) 307-318
Publisher: World Academy of Science, Engineering and Technology

MINIMA project: detecting and mitigating the negative impact of automation.

Author(s): Berberian, Bruno; Ohneiser, Oliver; Crescenzio, Francesca de; Babiloni, Fabio; Hasselberg, Andreas
Published in: Proceedings of HCI International 2017, 2017
Publisher: Springer

Mitigating Negative Impacts of Monitoring high levels of Automation: the MINIMA project. Poster presented at The Sixth SESAR Innovation Days 2016, November 8‐10, Technical University of Delft, The Netherlands.

Author(s): Ohneiser, Oliver; Hasselberg, Andreas; Berberian, Bruno; Crescenzio, Francesca de; Babiloni, Fabio; Schmeier, Tobias
Published in: 2016
Publisher: Sesar Innovation Days