Which is more prominent for fighter pilots under different flight task difficulties: Visual alert or verbal alert?

Niu, Yafeng; Xue, Chengqi; Zhou, Lei; Xie, Yi; Wang, Haiyan; Tang, Wenzhe; Wu, Wenyu; Guo, Qi; Jin, Tao

doi:10.1016/j.ergon.2019.05.010

Cited by 17 publications

(11 citation statements)

References 30 publications

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“…Unlike studies on the inattention detection, only a few investigated the development of a real-time inattention detection system with an alerting module for attention recovery. Ha et al [ 49 ] focused on the comparison of attention recovery results according to the type of stimulus, and Niu et al [ 50 ] explored verbal and visual stimulus to find the most effective one for fighter pilots.…”

Section: Related Workmentioning

confidence: 99%

“…Niu et al [ 50 ] explored the behavior and mental patterns of fighter pilots with visual and auditory stimuli. It is reported that the auditory stimulus in the form of slow verbal communication was optimal as it achieved the best performances in the conducted experiments, causing the earlier attention.…”

Section: Proposed Attention Recovery Systemmentioning

confidence: 99%

“…It is reported that the auditory stimulus in the form of slow verbal communication was optimal as it achieved the best performances in the conducted experiments, causing the earlier attention. Moreover, Reference [ 50 ] demonstrated that performances achieved by utilizing both visual and auditory stimulus together were the best. Thus, we provide both auditory and visual stimulus simultaneously in the alert providing module.…”

Section: Proposed Attention Recovery Systemmentioning

confidence: 99%

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A BCI Based Alerting System for Attention Recovery of UAV Operators

Park

Shin

et al. 2021

Sensors

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As unmanned aerial vehicles have become popular, the number of accidents caused by an operator’s inattention have increased. To prevent such accidents, the operator should maintain an attention status. However, limited research has been conducted on the brain-computer interface (BCI)-based system with an alerting module for the operator’s attention recovery of unmanned aerial vehicles. Therefore, we introduce a detection and alerting system that prevents an unmanned aerial vehicle operator from falling into inattention status by using the operator’s electroencephalogram signal. The proposed system consists of the following three components: a signal processing module, which collects and preprocesses an electroencephalogram signal of an operator, an inattention detection module, which determines whether an inattention status occurred based on the preprocessed signal, and, lastly, an alert providing module that presents stimulus to an operator when inattention is detected. As a result of evaluating the performance with a real-world dataset, it was shown that the proposed system successfully contributed to the recovery of operator attention in the evaluating dataset, although statistical significance could not be established due to the small number of subjects.

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Section: Related Workmentioning

confidence: 99%

Section: Proposed Attention Recovery Systemmentioning

confidence: 99%

Section: Proposed Attention Recovery Systemmentioning

confidence: 99%

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A BCI Based Alerting System for Attention Recovery of UAV Operators

Park

Shin

et al. 2021

Sensors

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“…Audio alerts can assist in achieving a shorter response time, immediately bringing a failure to the pilot's attention. Response to a visual alert, on the other hand, has shown better performance of the task at hand (Niu et al, 2019). Niu et al (2019) suggested that a combination of audio and visual alerts provide the best outcome for short response time and good performance; ultimately however, the selection of the alert type depends largely on its purpose.…”

Section: Directions For Future Researchmentioning

confidence: 99%

“…Findings by Niu et al (2019) suggest that the visual channel may be suitable for handling an engine failure, and Babin et al (2020) showed the benefits of using a specific visual indicator. However, it is also important to determine the perspective of operators who have had to deal with real-life engine failures and who are the primary users of any methodology for handling engine failures.…”

Section: Directions For Future Researchmentioning

confidence: 99%

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2021

CARI

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The University Aviation Association publishes the Collegiate Aviation Review International throughout each calendar year. Papers published in each volume and issue are selected from submissions that were subjected to a double-blind peer review process.The University Aviation Association is the only professional organization representing all levels of the non-engineering/technology element in collegiate aviation education and research. Working through its officers, trustees, committees, and professional staff, the University Aviation Association plays a vital role in collegiate aviation and in the aerospace industry. The University Aviation Association accomplishes its goals through a number of objectives:

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Research on Development of Warning Principle and Display Analysis of Large Aircraft

2023

Lecture Notes in Mechanical Engineering

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Which is more prominent for fighter pilots under different flight task difficulties: Visual alert or verbal alert?

Cited by 17 publications

References 30 publications

A BCI Based Alerting System for Attention Recovery of UAV Operators

A BCI Based Alerting System for Attention Recovery of UAV Operators

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Research on Development of Warning Principle and Display Analysis of Large Aircraft

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