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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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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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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 10 experienced helicopter pilots in the SIMONA moving-base flight simulator at Delft University of Technology. Pilots had to control an...journal article 2023
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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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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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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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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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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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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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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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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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van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)The 1960s crossover model is widely applied to quantitatively predict a human controller's (HC's) manual control behavior. Unfortunately, the theory captures only compensatory tracking behavior and, as such, a limited range of real-world manual control tasks. This article finalizes recent advances in manual control theory toward more general...journal article 2020
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van der El, Kasper (author), Pool, D.M. (author), Mulder, Max (author)Drivers rely on a variety of cues from different modalities while steering, but which exact cues are most important and how these different cues are used is still mostly unclear. The goal of our research project is to increase understanding of driver steering behavior; through a measuring and modeling approach we aim to extend the validity of...journal article 2019
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van Leeuwen, T. D. (author), Cleij, D. (author), Pool, D.M. (author), Mulder, Max (author), Bülthoff, H. H. (author)In motion simulation, motion input scaling is often applied to deal with the limited motion envelopes of motion simulators. In this research, the time-varying effects of scaling the lateral specific force up or down during passive curve driving in a car driving simulation are investigated through a simulator experiment. It is concluded that...journal article 2019
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Rojer, Jim (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)This paper describes a novel method for time-varying identification of Human Controller (HC) manual control parameters (called UKF-FPV), based on a steady-state (constant state covariance) Unscented Kalman Filter (UKF). This approach requires no a priori assumptions on the shape of HC parameter variations, which is a potential advantage over...journal article 2019
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Mulder, Max (author), Pool, D.M. (author), van der El, Kasper (author), Drop, F.M. (author), van Paassen, M.M. (author)Mathematical control models are widely used in tuning manual control systems and understanding human performance. The most common model, the crossover model, is severely limited, however, in describing realistic human control behaviour in relevant control tasks as it is only valid for tracking with a compensatory display. This paper first...journal article 2019
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Plaetinck, Wouter (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)Time-varying pilot control identification is essential for better understanding of how pilots respond when faced with sudden changes in the dynamics of the vehicle they control, such as when automatic control and stabilization systems disengage or undergo a mode transition. This paper presents the results of a human-in-the-loop experiment...journal article 2019
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Kolff, M.J.C. (author), van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)The understanding of human responses to visual information in car driving tasks requires the use of system identification tools that put constraints on the design of data collection experiments. Most importantly, multisine perturbation signals are required, including a multisine road geometry, to separately identify the different driver...journal article 2019
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Willems, M. (author), Pool, D.M. (author), van der El, Kasper (author), Damveld, H.J. (author), van Paassen, M.M. (author), Mulder, Max (author)Human modelling approaches are typically limited to feedback-only, compensatory tracking tasks. Advances in system identification techniques allow us to consider more realistic tasks that involve feedforward and even precognitive control. In this paper we study the human development of a feedforward control response while learning to...journal article 2019
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