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Iancu, Alexandru (author)
Given the expected increase of automation in the vehicles of the future, touchscreens are expected to be used in a wide variety of scenarios, including the ones that can become safety-critical.<br/>One disadvantage of the direct interaction approach that characterizes touchscreen operation is the feedthrough of accelerations through the human...
master thesis 2024
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Bootsma, Sybren (author)
Aerodynamic stall has been a critical factor in recent aircraft crashes, leading to revisions in the regulations on the fidelity of stall models in flight simulation training devices. However, the updated regulations still lack a clearly defined accuracy required for effective pilot training. To determine the required accuracy, this research...
master thesis 2024
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Eppenga, Thomas (author)
master thesis 2024
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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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de Fuijk, Dirk (author)
Adequate modeling of the unsteady aerodynamics during flow separation is critical for effective pilot training in Flight Simulation Training Devices. Over the years, a stall modeling method rooted in Kirchhoff's theory of flow separation has gained popularity due to its relative simplicity and suitability for parameter identification from flight...
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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Deeb, Basem (author)
master thesis 2023
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Leto, Giulia (author)
Recent aircraft have seen the implementation of touchscreens (TSCs) on the flight deck, in sight of more intuitive and direct human-machine interactions. Biodynamic feedthrough (BDFT), i.e., the transfer of the aircraft’s accelerations through the pilot’s body to the control inputs, is however still cause for concern, preventing safe and...
master thesis 2023
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Sarkar, Mayukh (author)
Glaucoma impacts vision by affecting visual processing at the retinal ganglion cell level. To recreate its impact on visual processing, photobleaching has been proposed to reversibly and temporarily induce glaucoma-like saccadic reaction time. It has been established that photobleaching elevates the threshold detection levels of visual stimuli...
master thesis 2023
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Brill, Patrick (author)
To improve the safety of commercial air transport, pilots are required to train on simulators to recognize the characteristics of an impeding stall and subsequently correctly recover from it. To prevent negative training, it is important that the accuracy of the used simulation models is high. A manner to model the nonlinear, unsteady...
master thesis 2023
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Beets, Simon (author)
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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Palings, Rik (author)
Haptic Shared Control (HSC) systems offer a means to naturally support human drivers in the transition to automated driving. Tuning of HSC requires knowledge of the neuromuscular system (NMS) of drivers. This MSc thesis project aimed to experimentally validate a linear parameter varying (LPV) technique for modeling driver neuromuscular...
master thesis 2022
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den Hertog, Koen (author)
Parkinson’s Disease is a neurodegenerative disease that has a decline in motor behaviour as one of its main symptoms. This decline is currently monitored using subjective measures, such as questionnaires and clinical observations. More detailed and objective tracking of this decline can improve treatment of the disease and allow for earlier...
master thesis 2022
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Jakimovska, Nora (author)
master thesis 2022
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van Veldhoven, Thijs (author)
This study investigates the effectiveness of vehicle dynamics and road environment data for predicting lateral accelerations and yaw rates. This prediction is used to preposition a simulator in anticipation of this motion. A prediction model was created using the road curvature at a specific look-ahead<br/>time and the current vehicle velocity....
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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