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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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Ortiz Moya, Álvaro (author)The identification of time-varying, adaptive behaviour of a human operator in basic manual control tasks is undoubtedly under development since most methodologies only account for time-invariant systems. Previous authors have proved that estimation techniques based on ARX structures can generally identify the HO model parameters. Nonetheless,...master thesis 2023
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Li, David (author)Technological devices are ubiquitous, think of for example smartphones and in-vehicle information systems. Both can contribute towards distracted driving where the visual field of the human controller is shifted away from the primary control task. In this paper a neural network model is trained using the InceptionTime architecture and used to...master thesis 2023
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Barragan, Martin (author)While human control behavior is well-understood in continuous control tasks, little is known about how human operators detect sudden changes in the controlled element dynamics. This paper focuses on modeling this detection phase for pursuit tracking tasks. Potential triggers for the human operator to detect changes in the controlled element...master thesis 2023
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Korkmaz, Aytek (author)Understanding individual differences in manual control cybernetics plays a principal role in personalizing human-machine systems. While much of the work in cybernetics utilizes models for the average controller, individualized models have also been explored, albeit constrained by data availability and the effectiveness of identification...master thesis 2023
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Six, Kobi (author)The aviation industry's reliance on automation raises concerns about pilot complacency, necessitating continuous pilot proficiency measures. To that end, real-time pilot skill feedback is vital—through alerts on declining skill levels or scalable levels of autonomy. Current cybernetic methods are limited as they assume linearity and time...master thesis 2023
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Mennink, Tessa (author)Although the roles of visual and haptic cues in motor tasks have been well studied, the benefits of audio cues in complex motor tasks have been underexplored. Audiovisual cues reduce reaction times and decrease the variance of endpoint responses in simple head-orienting localization tasks. The aim of this research is to explore the potential of...master thesis 2023
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Piera, Sybe (author)Future human-machine control tasks with preview (e.g., car driving) are expected to include automation for safety, but keep operators in charge for liability. Such shared control applications require time-varying human identification because the control feedback should be compatible with the operator's variable behavior. A promising time-domain...master thesis 2022
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van Leeuwen, Barry (author)Predicting individual skill retention, the extent to which human operators retain learned skills over time is limited by lengthy experiments and identifying patterns in the highly dimensional data. Using machine learning to process this data and find patterns could provide a regression prediction of this data. This paper investigates the use of...master thesis 2022
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Dialynas, G. (author), Christoforidis, Christos (author), Happee, R. (author), Schwab, A.L. (author)Experiments and human rider models were used to investigate bicycle balance and steering using visuo/vestibular motion and proprioceptive feedback taking into account sensory delays. An instrumented steer-by-wire bicycle designed and built at the TU Delft bicycle laboratory was used to investigate rider responses with and with reduced...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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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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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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Kistemaker, Sander (author)The haptic feedback signal in haptic interfaces is usually in the form of a force on the control device. In contrast, the “active side stick”, investigated in the 80s and 90s, uses an admittance display, whereby the position of the device is linked to the feedback signal, and force applied on the device is used as the control signal. These...master thesis 2021
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Commijs, Tjeerd (author)Accurate models of driver steering behavior are essential with ever-growing automation in road vehicles. In this project, the effects of driving speed on steering behavior on winding roads are investigated and modeled. Data were collected in a human-in-the-loop curve driving experiment with fifteen participants, who were asked to drive at five...master thesis 2021
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de Jong, Martijn (author)To fully optimize the synergy between human operators and machines in modern day’s highly automated vehicle control tasks, a real-time quantitative feedback of skill level is required. Direct feedback of skill level could be used to enable scalable levels of autonomy of the controlled system, or to provide a warning when sudden skill level...master thesis 2021
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Verkerk, Gertjan (author)Despite the increasing amount of automation in manual control tasks, such as driving a car or piloting an aircraft, the human ability to adapt to unexpected events still makes us an essential part of the control loop. Before we can remove the human completely, a better understanding of this unique characteristic is necessary so that we can apply...master thesis 2021
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Boogaard, Menno (author)Human force proprioception has previously been shown to be important in manual control tasks. Recent experiments suggest that force proprioception is more accurate than position proprioception. Still, knowledge about proprioceptive qualities and their relevance in manual control is lacking or inconsistent. This research aims to experimentally...master thesis 2021
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van Baelen, D. (author)Improving the safety level of aviation is vital to prevent serious accidents. One key area where improvements can be made is the prevention of loss of control occurrences, by preventing the aircraft state to pass beyond the limits from which no recovery is possible. Such improvements can focus on improved monitoring of the main flight parameters...doctoral thesis 2020