Searched for: subject%3A%22Attention%22
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document
Keeler, Miranda (author)
We present an investigation into the relationship between the average depth of the first correct prediction and the performance of CodeGen. This was done on a dataset comprised of code files comprised of C++, Go, Java, Julia, Kotlin, and Python. The analysis involved investigating the model's predictions at different layers using a Tuned Lens,...
bachelor thesis 2023
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Bombaerts, Gunter (author), Anderson, Joel (author), Dennis, Matthew James (author), Gerola, Alessio (author), Frank, Lily (author), Hannes, Tom (author), Hopster, Jeroen (author), Marin, L. (author), Spahn, Andreas (author)
The “attention economy” refers to the tech industry’s business model that treats human attention as a commodifiable resource. The libertarian critique of this model, dominant within tech and philosophical communities, claims that the persuasive technologies of the attention economy infringe on the individual user’s autonomy and therefore the...
journal article 2023
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de Pater, I.I. (author), Mitici, M.A. (author)
Most Remaining Useful Life (RUL) prognostics are obtained using supervised learning models trained with many labelled data samples (i.e., the true RUL is known). In aviation, however, aircraft systems are often preventively replaced before failure. There are thus very few labelled data samples available. We therefore propose a Long Short-Term...
journal article 2023
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van Nispen, K. (author), Sekine, Kazuki (author), van der Meulen, Ineke (author), Preisig, Basil C. (author)
Co-speech hand gestures are an ubiquitous form of nonverbal communication, which can express additional information that is not present in speech. Hand gestures may become more relevant when verbal production is impaired, as in speakers with post-stroke aphasia. In fact, speakers with aphasia produce more gestures than non-brain damaged speakers...
journal article 2022
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Kniestedt, I. (author), Lukosch, Stephan (author), van der Kuil, Milan (author), Lefter, I. (author), Brazier, F.M. (author)
Whereas entertainment games are capable of creating deeply rewarding and emotional experiences, applied game projects often result in products that, while potentially effective, are lacking in many other aspects of the user experience. This may be due to the fact that the focus of most design approaches for applied games lies primarily on the...
conference paper 2022
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Zhu, B. (author)
In recent years, the accuracy of Deep Neural Networks (DNNs) has improved significantly because of three main factors: the availability of massive amounts training data, the introduction of powerful low-cost computational resources, and the development of complex deep learning models. The cloud can provide powerful computational resources to...
doctoral thesis 2021
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de Vries, Yorick (author)
With the increasing global demand for logistics, supply chains have grown a lot in volume over the last decades. To be able to operate effectively within the capacity constraints of the carriers, proper collaboration and optimization of order allocation is required. Van Berkel Logistics facilitates the transport of containers by trucks from sea...
master thesis 2021
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Alfieri, Andrea (author)
Transformers can generate predictions auto-regressively by conditioning each sequence element on the previous ones, or can produce output sequences in parallel. While research has mostly explored upon this difference on tasks that are sequential in nature, we study this contrast on visual set prediction tasks, to analyze the core behaviour of...
master thesis 2021
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van Diepen, Aaron (author)
Recurrent neural networks (RNNs) used in time series prediction are still not perfect in their predictions and improvements can still be made in the area. Most recently transformers have led to great improvements in the field of RNNs, however transformers can not be used on time series data, because the architecture of transformers does not...
bachelor thesis 2021
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Wang, Mingshi (author)
According to the development of data-related techniques, aimed at exploring the largest value of data, price prediction has been seen as more vital for quantifying and pricing stock. To solve this problem, the learning based algorithm became popular during modern computing techniques development. LSTM (Long Short-Term Memory) techniques attract...
bachelor thesis 2021
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Eisma, Y.B. (author), de Winter, J.C.F. (author)
In the inspection time (IT) paradigm, participants view two lines of unequal length (called the Pi-figure) for a short exposure time, and then judge which of the two lines was longer. Early research has interpreted IT as a simple index of mental speed, which does not involve motor activity. However, more recent studies have associated IT with...
journal article 2020
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Stuldreher, Ivo (author)
Monitoring selectively directed auditory attention in groups can be helpful in a range of contexts, such as in education. In real-world settings, selectively directed attention cannot be monitored by relating physiological signals to known event markers. Determining the similarity of physiological responses across individuals in a group (i.e.,...
master thesis 2019
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Stapel, J.C.J. (author), Mullakkal-Babu, F.A. (author), Happee, R. (author)
Driver mental workload is an important factor in the operational safety of automated driving. In this study, workload was evaluated subjectively (NASA R-TLX) and objectively (auditory detection-response task) on Dutch public highways (∼150 km) comparing manual and supervised automated driving in a Tesla Model S with moderators automation...
journal article 2019
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Cabrall, C.D.D. (author), Eriksson, Alexander (author), Dreger, F.A. (author), Happee, R. (author), de Winter, J.C.F. (author)
This work aimed to organise recommendations for keeping people engaged during human supervision of driving automation, encouraging a safe and acceptable introduction of automated driving systems. First, heuristic knowledge of human factors, ergonomics, and psychological theory was used to propose solution areas to human supervisory control...
journal article 2019
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Voorendt, Jesper (author)
Behavioral treatment shows long-term success among children with AD(H)D, but is often expensive and hard to bring into practice. Flowy is a wristband that supports behavioral interventions by giving rhythmic vibrations as reminders for behavioral change.<br/>Rhythmic vibrations on the wrist have shown to have a calming effect, and can alert...
master thesis 2018
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Eisma, Y.B. (author), Cabrall, C.D.D. (author), de Winter, J.C.F. (author)
In pioneering work, Senders (1983) tasked five participants to watch a bank of six dials, and found that glance rates and times glanced at dials increase linearly as a function of the frequency bandwidth of the dial&amp;#x0027;s pointer. Senders did not record the angle of the pointers synchronously with eye movements, and so could not assess...
journal article 2018
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Praharaj, Sambit (author)
Attention span of students in a classroom is very short. To overcome this, different active learning methodologies have been used in the past. Active learning keeps the students busy and engaged throughout the lecture. It breaks the lecture into certain time intervals by intermixing breaks, demonstrations and questions after each interval. For...
master thesis 2017
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Hartcher-O'Brien, J. (author), Soto-Faraco, Salvador (author), Adam, Ruth (author)
contribution to periodical 2017
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Jansen, R.J. (author), van Egmond, R. (author), de Ridder, H. (author)
The role of task prioritization in performance tradeoffs during multi-tasking has received widespread attention. However, little is known on whether people have preferences regarding tasks, and if so, whether these preferences conflict with priority instructions. Three experiments were conducted with a high-speed driving game and an auditory...
journal article 2016
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de Winter, J.C.F. (author), Happee, R. (author), Martens, M.H. (author), Stanton, N.A. (author)
Adaptive cruise control (ACC), a driver assistance system that controls longitudinal motion, has been introduced in consumer cars in 1995. A next milestone is highly automated driving (HAD), a system that automates both longitudinal and lateral motion. We investigated the effects of ACC and HAD on drivers’ workload and situation awareness...
journal article 2014
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