The influence of trait mindfulness on incident involvement among Chinese airline pilots: The role of risk perception and flight experience

Ji, Ming; Yang, Chen Chang; Liu, Ying; Xu, Quan; He, Rong

doi:10.1016/j.jsr.2018.07.005

Cited by 30 publications

(11 citation statements)

References 44 publications

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“…In order to further support risk management of drinking-water supplies in general, quantitative tools for risk analysis are needed [47]. An important consideration is that although the level of risk can be rigid or fixed in a given context, it is the perception of the level of risk, acceptance, and an understanding of the resulting consequences that are subject to variation between individuals [48,49]. Quantification of the risk facilitates, for example, comparison with other risks and acceptable levels of risk in absolute terms as well as quantitative estimations of the efficiency of risk-reduction options.…”

Section: Weighting Of Risksmentioning

confidence: 99%

Improving Risk Assessments by Sanitary Inspection for Small Drinking-Water Supplies—Qualitative Evidence

et al. 2020

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Small drinking-water supplies face particular challenges in terms of their management. Being vulnerable to contamination but often not monitored regularly nor well-maintained, small drinking-water supplies may pose consequences for health of users. Sanitary inspection (SI) is a risk assessment tool to identify and manage observable conditions of the water supply technology or circumstances in the catchment area that may favour certain hazardous events and introduce hazards which may become a risk to health. This qualitative research aimed to identify the strengths and weaknesses of the SI tool as published by the World Health Organisation to inform a review and update of the forms and to improve their robustness. The study identified a number of benefits of the approach, such as its simplicity and ease of use. Challenges were also identified, such as potential for inconsistencies in perception of risk between inspectors, in interpreting questions, and lack of follow-up action. The authors recommend a revision of the existing SI forms to address the identified challenges and development of complementary advice on possible remedial action to address identified risk factors and on basic operations and maintenance.

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Section: Weighting Of Risksmentioning

confidence: 99%

Improving Risk Assessments by Sanitary Inspection for Small Drinking-Water Supplies—Qualitative Evidence

et al. 2020

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“…Past research has linked individual-level mindfulness to error outcomes through an error prevention lens, arguing that it might mitigate human error through enhanced external attentional control and focus (e.g., Dane, 2011; Dierynck et al, 2017; Mrazek et al, 2013). Similarly, safety research has established links between individual mindfulness and safety behavior (Feldman et al, 2011; Kao et al, 2021; Kiken & Shook, 2011); and safety performance in HROs (Ji et al, 2018; Solomon & Esmaeili, 2021; Zhang et al, 2013; Zhang & Wu, 2014). By highlighting that being true to oneself—and in particular, relating to oneself with acceptance as the qualitative inquiry revealed—decreases the pressure to hide errors, we extend past theorizing that links the attentional features of mindfulness to safety and error outcomes, and suggest that mindfulness can also be used to interpret and regulate the error management response more adaptively.…”

Section: Discussionmentioning

confidence: 99%

Flaws and all: How mindfulness reduces error hiding by enhancing authentic functioning.

Choi¹,

Leroy²,

Johnson³

et al. 2022

Journal of Occupational Health Psychology

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Hiding errors can undermine safety by amplifying the risks of undetected errors. This article extends research on occupational safety by investigating error hiding in hospitals and applies self-determination theory to examine how mindfulness decreases error hiding through authentic functioning. We examined this research model in a randomized control trial (mindfulness training vs. active control group vs. waitlist control group) within a hospital setting. First, we used latent growth modeling to confirm that our variables were related as hypothesized, both statically or cross-sectionally as well as dynamically as they evolved over time. Next, we analyzed whether changes in these variables were a function of the intervention and confirmed the effects of the mindfulness intervention on authentic functioning and indirectly on error hiding. To elaborate on the role of authentic functioning, in a third step, we qualitatively explored the phenomenological experience of change experienced by participants in mindfulness and Pilates training. Our findings reveal that error hiding is attenuated because mindfulness encourages a receptive view of one’s whole self, and authentic functioning enables an open and nondefensive way of relating to positive and negative information about oneself. These results add to research on mindfulness in organizations, error hiding, and occupational safety.

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“…According to statistics from the International Civil Aviation Organization (ICAO), human factors accounted for 76% of modern aviation accidents [5,6], which more than 60% are caused by pilots. And accidents related to mental fatigue of pilots more than 21% [7,8]. Besides, the human-computer interaction systems in aircraft driving have become more complex, and the load that pilots need to undertake in actual work continues to increase.…”

Section: Introductionmentioning

confidence: 99%

A Method for Classification and Evaluation of Pilot’s Mental States Based on CNN

Wang¹,

Wang²,

Xiong³

et al. 2023

Computer Systems Science and Engineering

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How to accurately recognize the mental state of pilots is a focus in civil aviation safety. The mental state of pilots is closely related to their cognitive ability in piloting. Whether the cognitive ability meets the standard is related to flight safety. However, the pilot's working state is unique, which increases the difficulty of analyzing the pilot's mental state. In this work, we proposed a Convolutional Neural Network (CNN) that merges attention to classify the mental state of pilots through electroencephalography (EEG). Considering the individual differences in EEG, semi-supervised learning based on improved K-Means is used in the model training to improve the generalization ability of the model. We collected the EEG data of 12 pilot trainees during the simulated flight and compared the method in this paper with other methods on this data. The method in this paper achieved an accuracy of 86.29%, which is better than 4D-aNN and HCNN etc. Negative emotion will increase the probability of fatigue appearing, and emotion recognition is also meaningful during the flight. Then we conducted experiments on the public dataset SEED, and our method achieved an accuracy of 93.68%. In addition, we combine multiple parameters to evaluate the results of the classification network on a more detailed level and propose a corresponding scoring mechanism to display the mental state of the pilots directly.

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The influence of trait mindfulness on incident involvement among Chinese airline pilots: The role of risk perception and flight experience

Cited by 30 publications

References 44 publications

Improving Risk Assessments by Sanitary Inspection for Small Drinking-Water Supplies—Qualitative Evidence

Improving Risk Assessments by Sanitary Inspection for Small Drinking-Water Supplies—Qualitative Evidence

Flaws and all: How mindfulness reduces error hiding by enhancing authentic functioning.

A Method for Classification and Evaluation of Pilot’s Mental States Based on CNN

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