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2,262 results on '"Feest, A."'

1. HuBar: A Visual Analytics Tool to Explore Human Behaviour based on fNIRS in AR guidance systems

Author

Castelo, Sonia, Rulff, Joao, Solunke, Parikshit, McGowan, Erin, Wu, Guande, Roman, Iran, Lopez, Roque, Steers, Bea, Sun, Qi, Bello, Juan, Feest, Bradley, Middleton, Michael, Mckendrick, Ryan, and Silva, Claudio

Subjects
Computer Science - Human-Computer Interaction
Abstract

The concept of an intelligent augmented reality (AR) assistant has significant, wide-ranging applications, with potential uses in medicine, military, and mechanics domains. Such an assistant must be able to perceive the environment and actions, reason about the environment state in relation to a given task, and seamlessly interact with the task performer. These interactions typically involve an AR headset equipped with sensors which capture video, audio, and haptic feedback. Previous works have sought to facilitate the development of intelligent AR assistants by visualizing these sensor data streams in conjunction with the assistant's perception and reasoning model outputs. However, existing visual analytics systems do not focus on user modeling or include biometric data, and are only capable of visualizing a single task session for a single performer at a time. Moreover, they typically assume a task involves linear progression from one step to the next. We propose a visual analytics system that allows users to compare performance during multiple task sessions, focusing on non-linear tasks where different step sequences can lead to success. In particular, we design visualizations for understanding user behavior through functional near-infrared spectroscopy (fNIRS) data as a proxy for perception, attention, and memory as well as corresponding motion data (acceleration, angular velocity, and gaze). We distill these insights into embedding representations that allow users to easily select groups of sessions with similar behaviors. We provide two case studies that demonstrate how to use these visualizations to gain insights about task performance using data collected during helicopter copilot training tasks. Finally, we evaluate our approach by conducting an in-depth examination of a think-aloud experiment with five domain experts., Comment: 11 pages, 6 figures. This is the author's version of the article that has been accepted for publication in IEEE Transactions on Visualization and Computer Graphics (TVCG)

Published
2024

5. Attacker-Defender Strategy Optimization Using Multi-objective Competitive Co-Evolution

Author

Guha, Ritam, Mckendrick, Ryan, Feest, Bradley, Deb, Kalyanmoy, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Affenzeller, Michael, editor, Winkler, Stephan M., editor, Kononova, Anna V., editor, Trautmann, Heike, editor, Tušar, Tea, editor, Machado, Penousal, editor, and Bäck, Thomas, editor

Published
2024
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9. Sexology : writing the contemporary novel : practice as research

Author

Feest, Alexander and Flusfeder, David

Subjects
306.7, P Language and Literature
Abstract

This is a novel which dwells in multiplicity. It moves through many subjects, forms and approaches. One theme which both unites and embodies this material is that of Fertility. This is considered firstly through examining the possible scale of human procreation within one family and then branches out, following the many tangled, often wildly unlikely pathways of the ten children born from this Mother. The novel follows what this fertility creates, what it literally means in this example. On the one hand, the view taken is satirical: this is obviously an incredibly large number of children to give birth to. But this is also always mingled with a sense of compassion and awe about the idea of bringing so much new life into being and the infinity of potential outcomes which could result from that act.

Published
2020

11. Flight Delay Prediction using Airport Situational Awareness Map

Author

Shao, Wei, Prabowo, Arian, Zhao, Sichen, Tan, Siyu, Konuiusz, Piotr, Chan, Jeffrey, Hei, Xinhong, Feest, Bradley, and Salim, Flora D.

Subjects
Computer Science - Computers and Society
Abstract

The prediction of flight delays plays a significantly important role for airlines and travelers because flight delays cause not only tremendous economic loss but also potential security risks. In this work, we aim to integrate multiple data sources to predict the departure delay of a scheduled flight. Different from previous work, we are the first group, to our best knowledge, to take advantage of airport situational awareness map, which is defined as airport traffic complexity (ATC), and combine the proposed ATC factors with weather conditions and flight information. Features engineering methods and most state-of-the-art machine learning algorithms are applied to a large real-world data sources. We reveal a couple of factors at the airport which has a significant impact on flight departure delay time. The prediction results show that the proposed factors are the main reasons behind the flight delays. Using our proposed framework, an improvement in accuracy for flight departure delay prediction is obtained.

Published
2019

12. Immunization with matrix-, nucleoprotein and neuraminidase protects against H3N2 influenza challenge in pH1N1 pre-exposed pigs

Author

Eleni Vatzia, Katherine Feest, Adam McNee, Tanuja Manjegowda, B. Veronica Carr, Basudev Paudyal, Tiphany Chrun, Emmanuel A. Maze, Amy Mccarron, Susan Morris, Helen E. Everett, Ronan MacLoughlin, Francisco J. Salguero, Teresa Lambe, Sarah C. Gilbert, and Elma Tchilian

Subjects
Immunologic diseases. Allergy, RC581-607, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract There is an urgent need for influenza vaccines providing broader protection that may decrease the need for annual immunization of the human population. We investigated the efficacy of heterologous prime boost immunization with chimpanzee adenovirus (ChAdOx2) and modified vaccinia Ankara (MVA) vectored vaccines, expressing conserved influenza virus nucleoprotein (NP), matrix protein 1 (M1) and neuraminidase (NA) in H1N1pdm09 pre-exposed pigs. We compared the efficacy of intra-nasal, aerosol and intra-muscular vaccine delivery against H3N2 influenza challenge. Aerosol prime boost immunization induced strong local lung T cell and antibody responses and abrogated viral shedding and lung pathology following H3N2 challenge. In contrast, intramuscular immunization induced powerful systemic responses and weak local lung responses but also abolished lung pathology and reduced viral shedding. These results provide valuable insights into the development of a broadly protective influenza vaccine in a highly relevant large animal model and will inform future vaccine and clinical trial design.

Published
2023
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36. Einleitung

Author

Feest, Johannes, Graebsch, Christine M., Series Editor, Burkhardt, Sven-Uwe, Series Editor, and Feest, Johannes, Series Editor

Published
2020
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44. What is the Replication Crisis a Crisis Of?

Author

Feest, Uljana

Abstract

In recent debates about the replication crisis, two positions have been dominant: one that focuses on methodological reforms and one that focuses on theory building. This paper takes up the suggestion that there might be a deeper difference in play, concerning the ways the very subject matter of psychology is construed by opposing camps, i.e., in terms of stable effects versus in terms of complexity. I argue that each gets something right, but neither is sufficient. My analysis suggests that the context sensitivity of the psychological subject matter needs to be front and center of methodological and theoretical efforts. [ABSTRACT FROM AUTHOR]

Published
2024
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