Výsledky vyhledávání - "Bartlett, Russell"

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Akademický článek

The Increase of Thermionic Currents from Tungsten in Strong Electric Fields

Autor: Bartlett, Russell S.

Publikováno v: Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character, 1928 Nov 01. 121(787), 456-464.

Externí odkaz: https://www.jstor.org/stable/95087

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Computational Models for Near-Real-Time Performance Predictions Based on Physiological Measures of Workload

Autor: Bartlett Russell, Amanda Kraft, Michael Krein, Matthias Ziegler, Jon Russo, William Casebeer

Current human sensing and assessment capabilities are limited by an inability to account for the multitude of variables that regulate the human performance state. Monitoring behavior alone is not adequate for prediction of future performance on a giv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a7e993ba012057bbcff65bcf5c724a01
https://doi.org/10.1016/b978-0-12-811926-6.00019-1

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Neural Efficiency in Expert Cognitive-Motor Performers During Affective Challenge

Autor: Jessica Oldham, Bradley D. Hatfield, Michelle E. Costanzo, John W. VanMeter, Christopher M. Janelle, Allen R. Braun, Bartlett Russell, Matthew W. Miller

Publikováno v: Journal of Motor Behavior. 48:573-588

Skilled individuals demonstrate a spatially localized or relatively lower response in brain activity characterized as neural efficiency when performing within their domain of expertise. Elite athletes are experts in their chosen sport and thus must b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::074305f87db6e17ee98f9aa79d06c7eb
https://doi.org/10.1080/00222895.2016.1161591

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Human Performance Augmentation in Context: Using Artificial Intelligence to Deal with Variability—An Example from Narrative Influence

Autor: Matthias Ziegler, William Casebeer, Amanda Kraft, Bartlett Russell, Jason Poleski

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319914664
HCI (16)

Bringing together humans and machines in a performance-improving symbiosis requires giving our digital assistants, robots and other artificial teammates the ability to better understand the states of their human colleagues. In this paper, we discuss

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1c4303781007399feb4d7c16334d0a36
https://doi.org/10.1007/978-3-319-91467-1_3

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EEG & Eye-Tracking Changes With Expertise In A Multi-Vehicle Control Task

Autor: Matthew Pava, Olivia Fox, Natalie Hansen, Assaf Harel, Bartlett Russell, Brad Galego

Publikováno v: Frontiers in Human Neuroscience. 12

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5ee98c48a448a1ca84a8562d1d4a03f
https://doi.org/10.3389/conf.fnhum.2018.227.00055

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Assessment of Top-Down Attention for a Closed-Loop Performance Enhancement System Using High-Frequency Steady-State Visually Evoked Potentials and Eye Tracking

Autor: Assaf Harel, Bartlett Russell, Brad Galego, Natalie Hansen, Walker Alexander, Jon Russo, Matthew Pava, Gabriel Collins, Olivia Fox

Publikováno v: Frontiers in Human Neuroscience. 12

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::79b1ca40c33e7f62c50cadea29dbb880
https://doi.org/10.3389/conf.fnhum.2018.227.00050

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A systematic approach to developing near real-time performance predictions based on physiological measures

Autor: Matthias Ziegler, Jon Russo, Bartlett Russell, William Casebeer, Amanda Kraft, Michael Krein

Publikováno v: CogSIMA

Performance measurements using human sensing and assessment capabilities are limited by an inability to account for the multitude of variables that regulate performance state. Monitoring behavior alone is not adequate for prediction of future perform

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::42356feb51aa200e86be5cc7711ef932
https://doi.org/10.1109/cogsima.2017.7929601

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Monitoring Attention with Embedded Frequency Markers for Simulation Environments

Autor: Jon Russo, Ian P. Warfield, William Casebeer, Bartlett Russell

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319399546
HCI (13)

Monitoring both overt and covert attention shifts is critical for the accurate real-time assessment of user state in training or simulation environments. Current attention-monitoring methods predominantly include eye-tracking, but eye-tracking alone

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a9e808e44aa144d476a438a020880cc7
https://doi.org/10.1007/978-3-319-39955-3_37

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Sensing and Assessing Cognitive Workload Across Multiple Tasks

Autor: Bartlett Russell, Amanda Kraft, Matthias Ziegler, Bradley D. Hatfield, Li-Chuan Lo, William Casebeer, Michael Krein

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319399546
HCI (13)

Workload assessment models are an important tool to develop an understanding of an individual's limitations. Finding times of excess workload can help prevent an individual from continuing work that may result in human performance issues, such as an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ab590e75e53daa3bb097ba9e38f8984c
https://doi.org/10.1007/978-3-319-39955-3_41

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