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Versteeg, Rogier (author), Pool, D.M. (author), Mulder, Max (author)
This article discusses a long short-term memory (LSTM) recurrent neural network that uses raw time-domain data obtained in compensatory tracking tasks as input features for classifying (the adaptation of) human manual control with single- and double-integrator controlled element dynamics. Data from two different experiments were used to train...
journal article 2024
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Jakimovska, N. (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
An improved understanding of pilot’s control behavior adaptations in response to sudden changes in the vehicle dynamics is essential for realizing adaptive support systems that remain effective when task characteristics suddenly change. In this paper, we replicate, extend, and validate the ‘adaptive pilot model’ proposed by Hess to verify its...
conference paper 2023
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van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
In the design of human-like steering support systems, driver models are essential for matching the supporting automation's behavior to that of the human driver. However, current driver models are very limited in capturing the driver's adaptation to key task variables such as road width and visibility (i.e., 'preview' of the road ahead). This...
journal article 2023
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Eppink, J.M. (author), Kolff, M.J.C. (author), Venrooij, Joost (author), Pool, D.M. (author), Mulder, Max (author)
Due to the non-deterministic nature of longitudinal human driver behaviour, motion cueing algorithms currently cannot fully utilize the workspace of driving simulators. This paper explores the possibility of using various predictor variables to predict longitudinal driving behaviour. Through the development of a logistic regression model, it is...
conference paper 2023
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Kolff, M.J.C. (author), Venrooij, Joost (author), Pool, D.M. (author), Mulder, Max (author)
In driving simulation, the choice of a simulator, motion cueing algorithm, and associated set of tuning parameters for an experiment is typically made with an exclusive focus on the quality of the motion. In practice, many other metrics could affect this choice as well, such as tuning complexity, algorithm stability, or the financial costs of...
conference paper 2023
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Scaramuzzino, P.F. (author), Pool, D.M. (author), Pavel, M.D. (author), Stroosma, O. (author), Quaranta, Giuseppe (author), Mulder, Max (author)
This paper analyzes the effects of the helicopter dynamics on pilots’ learning process and transfer of learned skills during autorotation training. A quasi-transfer-of-training experiment was performed with ten experienced helicopter pilots in the SIMONA moving-base flight simulator at Delft University of Technology. Pilots had to control an in...
journal article 2023
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Terenzi, L. (author), Zaal, P.M.T. (author), Pool, D.M. (author), Mulder, Max (author)
Improved understanding of human adaptation can be used to design better (semi-)automated systems that can support the human controller when task characteristics suddenly change. This paper evaluates the effectiveness of a model-based adaptive control technique, Model Reference Adaptive Control (MRAC), for describing the adaptive control policy...
conference paper 2022
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de Jong, M.A. (author), Pool, D.M. (author), Mulder, Max (author)
Mathematical human controller (HC) models are widely used in tuning manual control systems and for understanding human performance. Typically, quasi-linear HC models are used, which can accurately capture the linear portion of HCs' behavior, averaged over a long measurement window. This paper presents a deep learning HC skill-level evaluation...
journal article 2022
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Mulder, Max (author), Pool, D.M. (author), van der El, Kasper (author), van Paassen, M.M. (author)
Cyberneticists develop mathematical human control models which are used to tune manual control systems and understand human performance limits. Neuroscientists explore the physiology and circuitry of the central nervous system to understand how the brain works. Both research human visuomotor control tasks, such as the pursuit tracking task....
journal article 2022
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Bentinck, Pieter Bas J.C. (author), Pool, D.M. (author), van der El, Kasper (author), Hoagg, Jesse B. (author), Mulder, Max (author)
Better understanding of manual control requires more research on human anticipatory feedforward behaviour. Recent advances include a human control model for preview tracking, and a subsystem identification (SSID) technique that uses a candidate pool approach to identify the human feedforward and feedback responses. This paper discusses the...
journal article 2022
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Kolff, M.J.C. (author), Venrooij, Joost (author), Schwienbacher, Markus (author), Pool, D.M. (author), Mulder, Max (author)
BMW’s new driving simulation center operates multiple motion-base simulators – each with a different kinematic configuration – to serve various experiment use-cases and requirements of simulator users. The selection of a simulator for each experiment should ideally be based on their relative strengths and weaknesses. To support this decision...
conference paper 2022
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van Ham, Jacomijn M. (author), Pool, D.M. (author), Mulder, Max (author)
This paper presents the results of an experiment that was performed to verify the 'supervisory control algorithm', a well-known model of human operator adaptation to changes in controlled element dynamics. This model proposes that human adaptive behavior is triggered once the magnitudes of the tracking error or error rate exceed certain...
journal article 2022
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Mulder, Max (author), Pool, D.M. (author), van der El, Kasper (author), van Paassen, M.M. (author)
Mathematical human control models are widely used in tuning manual control systems and understanding human performance. Human behavior is commonly described using linear time-invariant models, averaging-out all non-linear and time-varying effects, which are gathered into the remnant. These models are limited in their capability to capture...
journal article 2022
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Kolff, Maurice (author), Venrooij, J. (author), Schwienbacher, Markus (author), Pool, D.M. (author), Mulder, Max (author)
When designing driving simulation experiments with motion cueing, it is often necessary to make choices between Motion Cueing Algorithms (MCAs) without being fully able to know how well an MCA will perform during the experiment. Choices between MCAs can therefore be greatly supported by previous measurements or predictions of motion cueing...
conference paper 2021
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Kolff, Maurice (author), Venrooij, J. (author), Schwienbacher, Markus (author), Pool, D.M. (author), Mulder, Max (author)
When designing driving simulation experiments with motion cueing, it is often necessary to make choices between Motion Cueing Algorithms (MCAs) without being fully able to know how well an MCA will perform during the experiment. Choices between MCAs can therefore be greatly supported by previous measurements or predictions of motion cueing...
journal article 2021
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Scaramuzzino, Paolo Francesco (author), Pavel, M.D. (author), Pool, D.M. (author), Stroosma, O. (author), Quaranta, Giuseppe (author), Mulder, Max (author)
Training has the potential to inject a “safety vaccination” into the rotorcraft community by reducing the number of accidents. The term training should not be intended only in a strict sense, i.e., as pilot technical skills training, but more broadly as risk avoidance and safety culture training. As in the case of vaccination, where immunity is...
conference paper 2021
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Pool, D.M. (author), Zaal, P.M.T. (author), Pieters, M.A. (author), Stroosma, O. (author), Mulder, Max (author)
This paper investigates the interaction effects of motion filter order and break frequency on pilots’ manual control behavior and control performance using two simulators. Eighteen pilots performed the experiment in the Vertical Motion Simulator (VMS) at NASA Ames Research Center and 20 pilots in the SIMONA Research Simulator at Delft University...
journal article 2021
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Zaal, P.M.T. (author), Pool, D.M. (author), Mulder, Max (author)
Linear mixed-effects models provide several benefits over more traditional statistical inference tests and are particularly useful for most human-in-the-loop tracking experiment data. However, surprisingly, mixed models are virtually not used for the analysis of tracking experiment data. This paper uses linear mixed-effects models to analyze...
conference paper 2021
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Scaramuzzino, Paolo Francesco (author), Pavel, M.D. (author), Pool, D.M. (author), Stroosma, O. (author), Mulder, Max (author), Quaranta, Giuseppe (author)
This paper analyzes the effects of the helicopter dynamics on pilots’ learning process and transfer of learned skills during autorotation training. A quasi-transfer-of-training experiment was performed with 14 experienced helicopter pilots in a moving-base flight simulator. Two types of helicopter dynamics, characterized by a different...
journal article 2021
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Miletović, I. (author), Pavel, M.D. (author), Pool, D.M. (author), Stroosma, O. (author), van Paassen, M.M. (author), Mulder, Max (author), Wentink, Mark (author)
Eigenmode distortion is a novel quantitative methodology developed to objectively evaluate motion cueing fidelity in flight simulation. It relies on an explicit coupling of linearized vehicle and Motion Cueing Algorithm dynamics. Modal analysis subsequently performed on this coupled system reveals the degree of distortion imposed by the Motion...
journal article 2021
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