Výsledky vyhledávání - "Wiltshire, Travis"

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Differentiating Workload using Pilot's Stick Input in a Virtual Reality Flight Task

Autor: van Weelden, Evy, van Beek, Carl W. E., Alimardani, Maryam, Wiltshire, Travis J., Ledegang, Wietse D., Groen, Eric L., Louwerse, Max M.

High-risk operational tasks such as those in aviation require training environments that are realistic and capable of inducing high levels of workload. Virtual Reality (VR) offers a simulated 3D environment for immersive, safe and valid training of p

Externí odkaz: http://arxiv.org/abs/2309.09619

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Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model

Autor: van der Lee, Chris, Ferreira, Thiago Castro, Emmery, Chris, Wiltshire, Travis, Krahmer, Emiel

This study discusses the effect of semi-supervised learning in combination with pretrained language models for data-to-text generation. It is not known whether semi-supervised learning is still helpful when a large-scale language model is also supple

Externí odkaz: http://arxiv.org/abs/2207.06839

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Akademický článek

Exploring the impact of virtual reality flight simulations on EEG neural patterns and task performance

Autor: van Weelden, Evy, Wiltshire, Travis J., Alimardani, Maryam, Louwerse, Max M.

Publikováno v: In Cognitive Systems Research December 2024 88

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Local Exceptionality Detection in Time Series Using Subgroup Discovery

Autor: Hudson, Dan, Wiltshire, Travis J., Atzmueller, Martin

In this paper, we present a novel approach for local exceptionality detection on time series data. This method provides the ability to discover interpretable patterns in the data, which can be used to understand and predict the progression of a time

Externí odkaz: http://arxiv.org/abs/2108.11751

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Social Analytics of Team Interaction using Dynamic Complexity Heat Maps and Network Visualizations

Autor: Wiltshire, Travis J., Hudson, Dan, Lijdsman, Philia, Wever, Stijn, Atzmueller, Martin

Given the increasing complexity of many sociotechnical work domains, effective teamwork has become increasingly crucial. While there is evidence that face-to-face communication contributes to effective teamwork, methods for understanding the time-var

Externí odkaz: http://arxiv.org/abs/2009.04445

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