Searched for: author%3A%22Pool%2C+D.M.%22
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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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Kotian, V. (author), Irmak, T. (author), Pool, D.M. (author), Happee, R. (author)
Users of automated vehicles will engage in other activities and take their eyes off the road, making them prone to motion sickness. To resolve this, the current paper validates models predicting sickness in response to motion and visual conditions. We validate published models of vestibular and visual sensory integration that have been used...
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 Leeuwen, B.A.A. (author), Toubman, Armon (author), van der Pal, Jelke (author), Pool, D.M. (author)
Current capabilities for predicting skill retention, i.e., the extent to which human operators retain learned skills over time, at an individual level are limited due to a requirement for large data sets and methods that can extract relevant patterns in highly dimensional data. This paper investigates the application of Extreme Gradient Boosting...
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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de Visser, C.C. (author), Pool, D.M. (author)
Aerodynamic model identification remains essential for simulator operations and control system design and operations. In this paper, state-of-the-art methodologies for aerodynamic model identification and validation are presented, together with a number of novel applications of the identified models that were recently investigated and developed...
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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Kotian, V. (author), Pool, D.M. (author), Happee, R. (author)
Users of automated vehicles will move away from being drivers to passengers, preferably engaged in other activities such as reading or using laptops and smartphones, which will strongly increase susceptibility to motion sickness. Similarly, in driving simulators, the presented visual motion with scaled or even without any physical motion causes...
conference paper 2023
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Irmak, T. (author), Pool, D.M. (author), de Winkel, K.N. (author), Happee, R. (author)
The human motion perception system has long been linked to motion sickness through state estimation conflict terms. However, to date, the extent to which available perception models are able to predict motion sickness, or which of the employed perceptual mechanisms are of most relevance to sickness prediction, has not been studied. In 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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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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Fang, X. (author), de Visser, C.C. (author), Pool, D.M. (author), Holzapfel, Florian (author)
This paper proposes a new method that estimates the three-dimensional stochastic wind velocity for an aircraft equipped with a Pitot-static tube and airflow vanes. Since the performance of most state estimators, e.g., the extended Rauch-Tung-Striebel smoother, relies on the process and measurement noise covariance settings, the proposed method...
conference paper 2022
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Imbrechts, A. (author), de Visser, C.C. (author), Pool, D.M. (author)
To gain more insight into human sensitivity to variations in simulated stall buffets, Just Noticeable Difference (JND) thresholds were estimated using a passive human-in-the-loop flight simulator experiment. Using an in-house developed flow separation-based stall and buffet model of the Cessna Citation II, JND thresholds were determined for the...
conference paper 2022
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Delfosse, A. (author), de Visser, C.C. (author), Pool, D.M. (author)
As of 2019, the FAA and EASA require all airline pilots to complete stall and recovery training as integral part of their training. To mitigate risks, this training takes place in ground-based simulators. To enable this, realistic models of aircraft behaviour in the stall regime need to be developed. In this paper, a newaerodynamic stall...
conference paper 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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Irmak, T. (author), Kotian, V. (author), Happee, R. (author), de Winkel, K.N. (author), Pool, D.M. (author)
The relationship between the amplitude of motion and the accumulation of motion sickness in time is unclear. Here, we investigated this relationship at the individual and group level. Seventeen participants were exposed to four oscillatory motion stimuli, in four separate sessions, separated by at least 1 week to prevent habituation. Motion...
journal article 2022
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Pool, D.M. (author), de Vries, Rick J. (author), Pel, Johan J.M. (author)
This paper investigates the potential of using a manual pursuit tracking task for quantifying loss of motor skills due to Parkinson's disease (PD), by applying human controller (HC) modeling techniques. With this approach, it is possible to obtain detailed quantitative data on motor performance in terms of control gain, response delay,...
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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Lugtenborg, Lieke A. (author), Pel, Johan J.M. (author), Pool, D.M. (author)
Parkinson's disease (PD) is a progressive nervous system disorder that affects movement. PD has a severely negative impact on the quality of life of patients and their caregivers. The timing of treatment depends, amongst others, on the quantification of patients' motor performance. To date, the resolution used in scaling motor performance is...
journal article 2022
Searched for: author%3A%22Pool%2C+D.M.%22
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