Mobility Compass

Discover mobility and transportation research. Find experts, partners, networks.

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The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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479.575 PEOPLE
479.575 People People

479.575 People

Show results for 479.575 people that are selected by your search filters.

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PeopleLocationsStatistics
Ziakopoulos, ApostolosAthens
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Vigliani, AlessandroTurin
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Catani, JacopoRome
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Statheros, ThomasStevenage
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Utriainen, RoniTampere
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Guglieri, GiorgioTurin
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Martínez Sánchez, Joaquín
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Tobolar, Jakub
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Volodarets, M.
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Piwowar, Piotr
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Matos, Ana Rita
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Cicevic, Svetlana
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Sommer, CarstenKassel
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Liu, Meiqi
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Lima, PedroBraga
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Turunen, Anu W.
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Antunes, Carlos Henggeler
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Krasnov, Oleg A.
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Lopes, Joao P.
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Turan, Osman
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Lučanin, VojkanBelgrade
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Tanaskovic, Jovan
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Russwinkel, Nele

  • Google
  • 11
  • 26
  • 62

in Cooperation with on an Cooperation-Score of 37%

Topics

  • driving
  • attention
  • autonomous driving
  • driver
  • driving simulator
  • modeling
  • variable
  • mediation
  • driving behavior
  • automobile
  • passenger
  • passenger car
  • vehicle occupant
  • design
  • truck driver
  • truck
  • highway
  • steering
  • reaction time
  • expected value
  • test track
  • lateral control
  • professional driver
  • level 3 driving automation
  • air traffic
  • air traffic control
  • computer programming
  • computer science
  • flight
  • behavior
  • machinery
  • human being
  • weather
  • foundation
  • aeronautics
  • aviation
  • cognition
  • cockpit
  • flight deck
  • assessment
  • perception
  • beltway
  • data
  • crash
  • poison
  • interface
  • brain
  • alertness
  • automation
  • flight crew
  • psychiatry
  • emergency response time
  • aircraft
  • eye
  • guideline
  • eye movement
  • control device
  • estimating
  • employed
  • validation
  • airport
  • traffic load
  • engineering
  • supporting
  • airport traffic
  • tower
  • workload
  • dispatcher
  • goodness of fit
  • show 39 more
  • show less

Publications

  • 2022A Cognitive Model to Anticipate Variations of Situation Awareness and Attention for the Takeover in Highly Automated Drivingcitations
  • 2021Familiarity and Complexity during a Takeover in Highly Automated Driving3citations
  • 2020Take-over expectation and criticality in Level 3 automated driving: a test track study on take-over behavior in semi-trucks4citations
  • 2020The Impact of Situational Complexity and Familiarity on Takeover Quality in Uncritical Highly Automated Driving Scenarios12citations
  • 2020Towards Cognitive Assistance and Teaming in Aviation by Inferring Pilot’s Mental State2citations
  • 2020Towards a cognitive model of the takeover in highly automated driving for the improvement of human machine interaction.citations
  • 2020ACT-R model for cognitive assistance in handling flight deck alertscitations
  • 2020Tracing Pilots’ Situation Assessment by Neuroadaptive Cognitive Modeling7citations
  • 2019Response times and gaze behavior of truck drivers in time critical conditional automated driving take-overs17citations
  • 2017A guideline for integrating dynamic areas of interests in existing set-up for capturing eye movement: Looking at moving aircraft17citations
  • 2015Workload of Airport Tower Controllers: Empirical Validation of a Macro-cognitive Modelcitations

Places of action

Chart of shared publication
Wiese, Sebastian
1 / 1 shared
Scharfe, Marlene Susanne Lisa
3 / 3 shared
Scharfe-Scherf, Marlene Susanne Lisa
2 / 2 shared
Wohlfarth, Enrico
1 / 1 shared
Lotz, Alexander
1 / 1 shared
Zeeb, Kathrin
1 / 4 shared
Klaproth, Oliver W.
2 / 2 shared
Vernaleken, Christoph
2 / 4 shared
Scharfe, M.
1 / 1 shared
Halbrügge, M.
1 / 1 shared
Klaproth, O. W.
1 / 1 shared
Krol, Laurens R.
1 / 2 shared
Zander, Thorsten O.
1 / 2 shared
Halbruegge, Marc
1 / 1 shared
Wohlfarth, E.
1 / 1 shared
Lotz, A.
1 / 1 shared
Rußwinkel, N.
1 / 1 shared
Friedrich, M.
1 / 10 shared
Möhlenbrink, C.
1 / 1 shared
Joeres, Fabian
1 / 1 shared
Smieszek, Hardy
1 / 4 shared
Chart of publication period
2022
2021
2020
2019
2017
2015

Co-Authors (by relevance)

  • Wiese, Sebastian
  • Scharfe, Marlene Susanne Lisa
  • Scharfe-Scherf, Marlene Susanne Lisa
  • Wohlfarth, Enrico
  • Lotz, Alexander
  • Zeeb, Kathrin
  • Klaproth, Oliver W.
  • Vernaleken, Christoph
  • Scharfe, M.
  • Halbrügge, M.
  • Klaproth, O. W.
  • Krol, Laurens R.
  • Zander, Thorsten O.
  • Halbruegge, Marc
  • Wohlfarth, E.
  • Lotz, A.
  • Rußwinkel, N.
  • Friedrich, M.
  • Möhlenbrink, C.
  • Joeres, Fabian
  • Smieszek, Hardy

article

Workload of Airport Tower Controllers: Empirical Validation of a Macro-cognitive Model

  • Russwinkel, Nele
  • Joeres, Fabian
  • Smieszek, Hardy
Abstract

The paper focuses on a validation study for a macro-cognitive model of mental workload of airport traffic controllers (ATCOs). This model constitutes a means for quantifying and analysing the distribution of ATCOs workload over time dependent on different traffic scenarios. Workload is modelled via the amount of chunks in working memory. In a one-factor experimental Simulator-Study workload ratings were gathered with different traffic load, using a modified RSME scale within and NASA-TLX after each scenario. The data are analysed and discussed concerning the successful experimental manipulation and the estimation of goodness of fit of the model and experimental data. Therefore the average workload ratings of the participant and the model within each scenario as well as the distribution of workload over time for each participant-model pair are compared. The developed model can serve as a tool for the design of adaptive automation and supporting systems and can help to better understand workload dynamics of airport traffic controllers.

Topics
  • data
  • control device
  • estimating
  • employed
  • validation
  • airport
  • traffic load
  • engineering
  • supporting
  • automation
  • airport traffic
  • airport traffic
  • tower
  • workload
  • dispatcher
  • goodness of fit

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