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Zgonnikov, A. (author), Beckers, N.W.M. (author), George, A. (author), Abbink, D.A. (author), Jonker, C.M. (author)
Understanding behavior of human drivers in interactions with automated vehicles (AV) can aid the development of future AVs. Existing investigations of such behavior have predominantly focused on situations in which an AV a priori needs to take action because the human has the right of way. However, future AVs might need to proactively manage...
journal article 2024
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Siebinga, O. (author), Zgonnikov, A. (author), Abbink, D.A. (author)
Traffic interactions between merging and highway vehicles are a major topic of research, yielding many empirical studies and models of driver behaviour. Most of these studies on merging use naturalistic data. Although this provides insight into human gap acceptance and traffic flow effects, it obscures the operational inputs of interacting...
journal article 2024
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Koerten, K.O. (author), Abbink, D.A. (author), Zgonnikov, A. (author)
Traffic jams occurring on highways cause increased travel time as well as increased fuel consumption and collisions. So-called phantom traffic jams are traffic jams that do not have a clear cause, such as a merging on-ramp or an accident. Phantom traffic jams make up 50% of all traffic jams and result from instabilities in the traffic flow...
journal article 2024
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Zaga, Cristina (author), Lupetti, M.L. (author), Forster, D. (author), Murray-Rust, D.S. (author), Prendergast, J.M. (author), Abbink, D.A. (author)
In Industry 5.0, cognitive robots and workers will engage in evolving and reciprocal relations, which we call worker-robot relationships (WRRs). To enable evidence-based work futures with workers, we must co-develop WRRs and understand their impact on work, workers, management, and society. To this end, we posit that the HRI field should work...
conference paper 2024
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Sevenster, A.L.A. (author), Farah, H. (author), Abbink, D.A. (author), Zgonnikov, A. (author)
Overtaking on two-lane roads can lead to increased collision risks due to drivers' errors in evaluating whether or not to accept the gap to the vehicle in the opposite lane. Understanding these gap acceptance decisions can help mitigate the risks associated with overtaking. Previous research on overtaking has focused on the factors...
journal article 2023
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George, A. (author), Cavalcante Siebert, L. (author), Abbink, D.A. (author), Zgonnikov, A. (author)
Modelling causal responsibility in multi-agent spatial interactions is crucial for safety and efficiency of interactions of humans with autonomous agents. However, current formal metrics and models of responsibility either lack grounding in ethical and philosophical concepts of responsibility, or cannot be applied to spatial interactions. In...
conference paper 2023
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Siebinga, O. (author), Zgonnikov, A. (author), Abbink, D.A. (author)
A major challenge for autonomous vehicles is handling interactions with human-driven vehicles—for example, in highway merging. A better understanding and computational modelling of human interactive behaviour could help address this challenge. However, existing modelling approaches predominantly neglect communication between drivers and assume...
journal article 2023
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Siebinga, O. (author), Zgonnikov, A. (author), Abbink, D.A. (author)
Recently, multiple naturalistic traffic datasets of human-driven trajectories have been published (e.g., highD, NGSim, and pNEUMA). These datasets have been used in studies that investigate variability in human driving behavior, for example for scenario-based validation of autonomous vehicle (AV) behavior, modeling driver behavior, or...
conference paper 2023
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Kuitert, S. (author), Hofland, Jelle (author), Heemskerk, Cock J.M. (author), Abbink, D.A. (author), Peternel, L. (author)
Robotic teleoperation is used in various applications, including the nuclear industry, where the experience and intelligence of a human operator are necessary for making complex decisions that are beyond the autonomy of robots. Human-robot interfaces that help strengthen an operators situational awareness without inducing excessive cognitive...
conference paper 2023
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Tiwari, V. (author), Abbink, T. F. (author), Ocadiz flores, J.A. (author), Flèche, J. L. (author), Gueneau, C. (author), Chatain, S. (author), Smith, A.L. (author), Martinet, J. (author), Venard, C. (author)
A thorough understanding of the corrosion chemistry between molten salt fuel and structural materials (e.g., steel) is key for the advancement of Molten Salt Reactor technology. In this work, we consider more specifically the case of a chloride fuel salt mixture and the thermochemistry of a salt mixture such as (NaCl-MgCl<sub>2</sub>-PuCl<sub...
journal article 2023
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Lupetti, M.L. (author), Cavalcante Siebert, L. (author), Abbink, D.A. (author)
In this paper, we problematize popular narratives of driving automation. Whether positive or negative, these propagate simplistic assumptions about human abilities and reinforce technocratic approaches to mobility innovation. We build on narrative approaches to participatory research and adversarial design, to explore how design-led...
conference paper 2023
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Meccanici, Floris (author), Karageorgos, Dimitrios (author), Heemskerk, Cock J.M. (author), Abbink, D.A. (author), Peternel, L. (author)
Daily household tasks involve manipulation in cluttered and unpredictable environments and service robots require complex skills and adaptability to perform such tasks. To this end, we developed a teleoperated online learning approach with a novel skill refinement method, where the operator can make refinements to the initially trained skill...
conference paper 2023
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van Zoelen, E.M. (author), van den Bosch, Karel (author), Abbink, D.A. (author), Neerincx, M.A. (author)
When humans and AI-agents collaborate, they need to continuously learn about each other and the task. We propose a Team Design Pattern that utilizes adaptivity in the behavior of human and agent team partners, causing new Collaboration Patterns to emerge. Human-AI Co-Learning takes place when partners can formalize recognized patterns of...
conference paper 2023
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Koerten, K.O. (author), Abbink, D.A. (author)
Robotic assistance for work processes in the hospitality industry is receiving increased attention both in the hospitality industry and in academic research. Unfortunately, academic literature about hospitality robotics is currently disjointed, making it hard for hospitality professionals to decide which processes to target, and which...
book chapter 2023
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Thirani, Kushal (author), Abbink, D.A. (author), Peternel, L. (author)
This paper studies non-physical feedback mechanisms to guide human workers toward ergonomic body postures. Specifically, the focus is to solve the tasks that involve no direct physical interaction between the human and the robotic system, therefore tactile guidance by the robot body is not feasible. We propose a multi-modal ergonomic posture...
conference paper 2023
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Vermin, B. L. (author), Abbink, D.A. (author), Schulte, F. (author)
Increasing online retail has resulted in increased automation in order picking systems, leading to new challenges and opportunities in task scheduling. The job-shop scheduling problem is an optimization problem essential in such systems, but existing JSP literature often overlooks workplace fatigue, which harms employees’ well-being and costs U...
journal article 2023
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Cavalcante Siebert, L. (author), Lupetti, M.L. (author), Aizenberg, E. (author), Beckers, N.W.M. (author), Zgonnikov, A. (author), Veluwenkamp, H.M. (author), Abbink, D.A. (author), Giaccardi, Elisa (author), Houben, G.J.P.M. (author), Jonker, C.M. (author), van den Hoven, M.J. (author), Forster, D. (author), Lagendijk, R.L. (author)
How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits - but also undesirable situations where moral responsibility for their actions cannot be properly attributed to any particular person or group. The concept of...
journal article 2022
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Siebinga, O. (author), Zgonnikov, A. (author), Abbink, D.A. (author)
A major challenge for autonomous vehicles is interacting with other traffic participants safely and smoothly. A promising approach to handle such traffic interactions is equipping autonomous vehicles with interaction-aware controllers (IACs). These controllers predict how surrounding human drivers will respond to the autonomous vehicle’s actions...
journal article 2022
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Siebinga, O. (author), Zgonnikov, A. (author), Abbink, D.A. (author)
Human highway-merging behavior is an important aspect when developing autonomous vehicles (AVs) that can safely and successfully interact with other road users. To design safe and acceptable human-AV interactions, the underlying mechanisms in human-human interactive behavior need to be understood. Exposing and understanding these mechanisms can...
conference paper 2022
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Melman, T. (author), Weijerman, Mark (author), de Winter, J.C.F. (author), Abbink, D.A. (author)
Introduction: Cars are increasingly computerized, and vehicle settings such as steering gain (SG) can now be altered during driving. However, it is unknown whether transitions in SG should be adaptable (i.e., triggered by driver input) or adaptive (i.e., triggered automatically). We examined this question for road segments expected to require...
journal article 2022
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