Searched for: author%3A%22Abbink%2C+D.A.%22
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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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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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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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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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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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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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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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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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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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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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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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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), Tapus, Adriana (author), Jublot, Maxime (author), Mouton, Xavier (author), Abbink, D.A. (author), de Winter, J.C.F. (author)
A key question in transportation research is whether drivers show behavioral adaptation, that is, slower or faster driving, when new technology is introduced into the vehicle. This study investigates behavioral adaptation in response to the sport mode, a technology that alters the vehicle's auditory, throttle-mapping, power-steering, and...
journal article 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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Beckers, N.W.M. (author), Cavalcante Siebert, L. (author), Bruijnes, M. (author), Jonker, C.M. (author), Abbink, D.A. (author)
People seem to hold the human driver to be primarily responsible when their partially automated vehicle crashes, yet is this reasonable? While the driver is often required to immediately take over from the automation when it fails, placing such high expectations on the driver to remain vigilant in partially automated driving is unreasonable....
journal article 2022
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de Winter, J.C.F. (author), Petermeijer, S.M. (author), Abbink, D.A. (author)
A major question in human-automation interaction is whether tasks should be traded or shared between human and automation. This work presents reflections—which have evolved through classroom debates between the authors over the past 10 years—on these two forms of human-automation interaction, with a focus on the automated driving domain. As...
journal article 2022
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Zgonnikov, A. (author), Abbink, D.A. (author), Markkula, Gustav (author)
Objective: We aim to bridge the gap between naturalistic studies of driver behavior and modern cognitive and neuroscientific accounts of decision making by modeling the cognitive processes underlying left-turn gap acceptance by human drivers. Background: Understanding decisions of human drivers is essential for the development of safe and...
journal article 2022
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