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van der Maden, W.L.A. (author)
The rise of Artificial Intelligence (AI), from <i>curatorial</i> AI in YouTube to <i>generative</i> AI in ChatGPT, demonstrates both potential for progress and risks of harm. Adopting a Positive Design approach aimed at directly enhancing human wellbeing, this dissertation develops the concept of...
doctoral thesis 2024
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Mckenzie, Max (author)
Haptic shared controllers (HSCs) are a promising solution to prevent human over-reliance on automation during tasks such as car driving. However, research has shown that if the HSC is tuned incorrectly, then there is a risk of haptic conflicts between the human and HSC. To address this challenge, this paper presents the design and implementation...
master thesis 2024
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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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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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Dijkstra, A. (author)
This thesis proposes the of integrating safety, economics, and passenger experience and draws on the author's research and experience in aviation to develop a more comprehensive approach to airline business management. The research closes the gap between business and Safety Management Systems in airlines by introducing two novel and...
doctoral thesis 2023
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Riquelme-Dominguez, Jose Miguel (author), Gonzalez-Longatt, Francisco (author), Melo, Andre Felipe Silva (author), Rueda, José L. (author), Palensky, P. (author)
Future carbon-neutral power systems impose many challenges; one is the urgent need for a simulation platform that allows replicating the complex systems’ actual dynamic performance. This paper shows the results of implementing a cyber-physical testbed co-simulation in real-time to analyse the system frequency response considering primary...
journal article 2023
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van der Maden, W.L.A. (author), Lomas, J.D. (author), Hekkert, P.P.M. (author)
Introduction: Designing artificial intelligence (AI) to support health and wellbeing is an important and broad challenge for technologists, designers, and policymakers. Drawing upon theories of AI and cybernetics, this article offers a design framework for designing intelligent systems to optimize human wellbeing. We focus on the production...
journal article 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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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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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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Medici, P. (author)
In 1969, English researcher Gordon Pask published an article named “The Architectural Relevance of Cybernetics”, defining a theoretical framework concerning a cybernetic theory of architecture. Throughout the 1970s, the Cambridge Research Group designed the Autonomous House, a self-sufficient dwelling in terms of energy and food. Part of the...
journal article 2022
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van der Maden, W.L.A. (author), Lomas, J.D. (author), Hekkert, P.P.M. (author)
The COVID-19 pandemic has put wellbeing on the global agenda like never<br/>before. Many businesses, organizations, and even governments have recognized<br/>wellbeing as a formal policy goal. This paper addresses the question of how to design<br/>complex systems to improve the wellbeing of their stakeholders. We present a case of<br/>helping a...
conference paper 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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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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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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Lomas, J.D. (author), van der Maden, W.L.A. (author)
“My Wellness Check” is a well-being assessment system designed to support wellbeing feedback loops within large organizations, like universities. In this paper, we present a narrative describing the human-centred design process used to develop a context-sensitive well-being feedback system within a large technical university during the COVID-19...
conference paper 2021
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