Searched for: subject%3A%22workload%22
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van den Brink, Luc (author)
This paper investigates the optimisation of Automated Storage and Retrieval Systems (AS/RS) in warehousing by minimising performance losses during partial downtime. Given the increasing automation in logistics, AS/RS systems play a pivotal role, yet the operation of those systems during partial downtime remains a topic ignored in literature....
master thesis 2024
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Scarí, Federico (author)
As autonomous vehicle (AV) technology progresses, the necessity for a comprehensive understanding of interactions between AVs and human-driven vehicles (HVs) becomes paramount, particularly in critical manoeuvres such as merging. Mastering merging interactions is essential for enhancing road safety. Existing research in this field focuses on how...
master thesis 2024
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Chen, Yuwei (author)
Our understanding of mental workload (MWL) is still limited compared to well-known physiological data like blood pressure and heart rate. MWL measures the cognitive resources required for tasks against what's available. Innovative technologies offer more comprehensive and objective cognitive data, but their impact on individuals and their...
master thesis 2024
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Núñez-Gómez, Carlos (author), de Vos, Martijn (author), Decouchant, Jérémie (author), Pouwelse, J.A. (author), Caminero, Blanca (author), Carrión, Carmen (author)
With the proliferation of Internet of Things (IoT) ecosystems, traditional resource orchestration mechanisms, executed on fog devices, encounter significant scalability, reliability and security challenges. To tackle these challenges, recent decentralized algorithms in Fog-IoT use Distributed Ledger Technologies to orchestrate resources and...
journal article 2024
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Zhou, Jing (author)
Explainable AI (XAI) has gained increasing attention from more and more researchers with an aim to improve human interaction with AI systems. In the context of human-agent teamwork (HAT), providing explainability to the agent helps to increase shared team knowledge and belief, therefore improving overall teamwork. With various backgrounds and...
master thesis 2023
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Nguyen, M. (author), Nguyen-Phuoc, Duy Quy (author), Oviedo-Trespalacios, O. (author)
Objective: The rapid development of information technologies and the COVID-19 pandemic have resulted in the proliferation of online food shopping and food delivery motorcyclists. In contrast to the relatively ample literature on factors influencing fatalities and risky riding behaviors of food delivery motorcyclists, little is known about the...
journal article 2023
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Lingler, Alexander (author), Talypova, Dinara (author), Draxler, Fiona (author), Schneegass, C. (author), Dingler, Tilman (author), Wintersberger, Philipp (author)
Attention management systems seek to minimize disruption by intelligently timing interruptions and helping users navigate multiple tasks and activities. While there is a solid theoretical basis and rich history in HCI research for attention management, little progress has been made regarding their practical implementation and deployment....
conference paper 2023
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Rooij, R.M. (author), Mooij, S.C. (author)
Teaching design skills to engineering students has long been one of the main building blocks of the bachelor curriculums at the TU Delft faculties of Industrial Design Engineering and Architecture & the Built Environment. We observe that our students achieve high-level (design) competencies during their study time at TU Delft. But we also...
conference paper 2022
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Landman, H.M. (author), Kalogeras, Dimitrios (author), Houben, Mark (author), Groen, Eric L. (author)
Background: Previous research has shown that experiencing motion stimuli negatively impacts cognitive performance. Objective: In the current study, we investigate whether this impact relates to Type-II spatial disorientation (SD), to motion stimulus magnitude, or to an interaction of these factors. Method: Stimuli for participants (n = 23)...
journal article 2022
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Han, Rui (author), Wen, Shilin (author), Liu, Chi Harold (author), Yuan, Ye (author), Wang, Guoren (author), Chen, Lydia Y. (author)
Edge-cloud jobs are rapidly prevailing in many application domains, posing the challenge of using both resource-strenuous edge devices and elastic cloud resources. Efficient resource allocation on such jobs via scheduling algorithms is essential to guarantee their performance, e.g. latency. Deep reinforcement learning (DRL) is increasingly...
conference paper 2022
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Chen, Qinyu (author), Gao, C. (author), Fu, Yuxiang (author)
Spiking neural networks (SNNs) are promising alternatives to artificial neural networks (ANNs) since they are more realistic brain-inspired computing models. SNNs have sparse neuron firing over time, i.e., spatiotemporal sparsity; thus, they are helpful in enabling energy-efficient hardware inference. However, exploiting the spatiotemporal...
journal article 2022
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van der Wal, Wouter (author)
The planning of air cargo across an airlines' network is proven to be a complex problem consisting of multiple subproblems. Currently, all these subproblems are solved sequentially and by hand, resulting in partial solutions instead of an integrated solution. Two of these subproblems are the palletization of items onto ULDs and the scheduling of...
master thesis 2021
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Kokoris, Dimitris (author)
Modern societies are heavily relied on efficient transportation systems for mobilizing people and goods. These systems are mainly constituted by road traffic networks. Currently, traffic demand is immense and perpetually increasing with unprecedented rates that traffic congestion has become an imminent subsequent. Over time, all this human...
master thesis 2021
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Verschueren, Eveline (author)
The Box contains monitoring devices patients can use to perform monitoring activities in the comfort of their home. The success of the service relies on active patient participation. With The Box, the treating medical team now has insights in the patient’s health condition from a distance. It doesn’t require the patient to be physically present...
master thesis 2021
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van Leeuwen, Nico (author)
This study proposes an LCA system that provides haptic guidance during lane changes. This system is fully integrated with LKA functionality to provide continuous lateral support during highway driving. Two different system configurations of this LCA are investigated. One is a generalized LCA that provides lane change reference trajectories based...
master thesis 2021
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Qiu, S. (author), Gadiraju, Ujwal (author), Birk, Max V. (author), Bozzon, A. (author)
The future of crowd work has been identified to depend on worker satisfaction, but we lack a thorough understanding of how worker satisfaction can be increased in microtask crowdsourcing. Prior work has shown that one solution is to build tasks that are engaging. To facilitate engagement, two methods that have received attention in recent HCI...
journal article 2021
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Kiani, Moien (author), Asgari, Mohsen (author), Abbas Gohari, Faezeh (author), Rezvani, Z. (author)
Introduction. This study aimed to investigate safety climate and its structural dimensions as well as establish a relationship between safety climate and demographic variables in a power distribution company. Method. This cross-sectional study included 200 workers. The safety climate questionnaire recommended by the UK Health and Safety...
journal article 2021
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Marfoglia, Themis (author)
The development of automated vehicles on the road is in full swing. As vehicles are getting increasingly automated, the human factor is diminished or eventually removed from automated driving. Until then, a combination of human input and automation is necessary during automated driving. This research focuses on the interaction between humans and...
master thesis 2020
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Peters, kARLIJN (author)
Technological developments in the medical world introduce a shift in responsibilities of the surgical team members which might result in waste of talent and skills. The latter might result in disengagement and decreased productivity and thus in illness-related absenteeism. The people pillar of sustainability aims to create a healthy workplace...
master thesis 2020
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van Doorn, Ellemieke (author), Horvath, I. (author), Rusak, Z. (author)
Nautical traffic management in The Netherlands is shifting from local traffic control to corridor traffic management. Current traffic management systems do not sufficiently support operators in perceptual and cognitive process to interpret and understand the large amounts of information needed for corridor traffic management. Newly developed...
journal article 2020
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