Moving Vigilance Out of the Laboratory: Dynamic Scenarios for UAS Operator Vigilance Training

Daly, Tarah; Murphy, Jennifer S.; Anglin, Katlin; Szalma, James L.; Acree, Max; Landsberg, Carla R.; Bowens, Laticia D.

doi:10.1007/978-3-319-58625-0_2

Cited by 6 publications

(3 citation statements)

References 49 publications

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“…The phenomenon has since been demonstrated as one of the most ubiquitous and consistently replicated findings in the vigilance literature (Baker, 1959;Mackworth, 1968;Sostek, 1978;Parasuraman and Mouloua, 1987;Dember et al, 1992;Warm and Dember, 1998;Pattyn et al, 2008;Epling et al, 2016). Laboratory vigilance tasks require correctly identifying rare target stimuli in an array for a prolonged period (Daly et al, 2017). Vigilance decrement typically onsets within 15 min of sustained attention, however it has been reported in as little as 8 min under particularly demanding situations (Helton et al, 1999;St John et al, 2006).…”

Section: Introductionmentioning

confidence: 82%

“…Laboratory vigilance tasks require correctly identifying rare target stimuli in an array for a prolonged period (Daly et al, 2017 ). Vigilance decrement typically onsets within 15 min of sustained attention, however it has been reported in as little as 8 min under particularly demanding situations (Helton et al, 1999 ; St John et al, 2006 ).…”

Section: Introductionmentioning

confidence: 99%

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A review of cyber vigilance tasks for network defense

Guidetti

Speelman

Bouhlas³

2023

Front. Neuroergonomics

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The capacity to sustain attention to virtual threat landscapes has led cyber security to emerge as a new and novel domain for vigilance research. However, unlike classic domains, such as driving and air traffic control and baggage security, very few vigilance tasks exist for the cyber security domain. Four essential challenges that must be overcome in the development of a modern, validated cyber vigilance task are extracted from this review of existent platforms that can be found in the literature. Firstly, it can be difficult for researchers to access confidential cyber security systems and personnel. Secondly, network defense is vastly more complex and difficult to emulate than classic vigilance domains such as driving. Thirdly, there exists no single, common software console in cyber security that a cyber vigilance task could be based on. Finally, the rapid pace of technological evolution in network defense correspondingly means that cyber vigilance tasks can become obsolete just as quickly. Understanding these challenges is imperative in advancing human factors research in cyber security.CCS categoriesHuman-centered computing~Human computer interaction (HCI)~HCI design and evaluation methods.

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Section: Introductionmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

A review of cyber vigilance tasks for network defense

Guidetti

Speelman

Bouhlas³

2023

Front. Neuroergonomics

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“…When teleoperation tasks are complex and take a long time to perform, brain fatigue can occur due to high mental workload (Warm et al, 2008). When the teleoperation task is too single and simple, it will lead to a decrease in the concentration of the brain (Daly et al, 2017). Therefore, we assumed that the process conforms to a MDP (Chanel et al, 2020).…”

Section: Markov Decision Processmentioning

confidence: 99%

Feasibility study of personalized speed adaptation method based on mental state for teleoperated robots

Zhang

et al. 2022

Front. Neurosci.

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The teleoperated robotic system can support humans to complete tasks in high-risk, high-precision and difficult special environments. Because this kind of special working environment is easy to cause stress, high mental workload, fatigue and other mental states of the operator, which will reduce the quality of operation and even cause safety accidents, so the mental state of the people in this system has received extensive attention. However, the existence of individual differences and mental state diversity is often ignored, so that most of the existing adjustment strategy is out of a match between mental state and adaptive decision, which cannot effectively improve operational quality and safety. Therefore, a personalized speed adaptation (PSA) method based on policy gradient reinforcement learning was proposed in this paper. It can use electroencephalogram and electro-oculogram to accurately perceive the operator’s mental state, and adjust the speed of the robot individually according to the mental state of different operators, in order to perform teleoperation tasks efficiently and safely. The experimental results showed that the PSA method learns the mapping between the mental state and the robot’s speed regulation action by means of rewards and punishments, and can adjust the speed of the robot individually according to the mental state of different operators, thereby improving the operating quality of the system. And the feasibility and superiority of this method were proved. It is worth noting that the PSA method was validated on 6 real subjects rather than a simulation model. To the best of our knowledge, the PSA method is the first implementation of online reinforcement learning control of teleoperated robots involving human subjects.

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Examining Vigilance in a Simulated Unmanned Aircraft System (UAS) Monitoring Task

Chaparro

Carroll

2021

Advances in Simulation and Digital Human Modeling

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Moving Vigilance Out of the Laboratory: Dynamic Scenarios for UAS Operator Vigilance Training

Cited by 6 publications

References 49 publications

A review of cyber vigilance tasks for network defense

A review of cyber vigilance tasks for network defense

Feasibility study of personalized speed adaptation method based on mental state for teleoperated robots

Examining Vigilance in a Simulated Unmanned Aircraft System (UAS) Monitoring Task

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