个体风险预测因子与风险逃离行为之间的联系:一项系统综述

IF 1 4区 心理学 Q4 PSYCHOLOGY, APPLIED International Journal of Aerospace Psychology Pub Date : 2023-01-02 DOI:10.1080/24721840.2022.2139700
Yassmin Ebrahim, B. Molesworth, Oleksandra Molloy
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引用次数: 0

摘要

摘要目的本系统综述的目的是强调飞行员的风险感知是如何衡量的,以及风险的个体预测因素与危险飞行行为之间的关系。背景风险是生活中固有的一部分,没有任何行动是没有风险的。风险承担是由几个因素介导的,这些因素包括年龄、性别、文化背景和个性。了解飞行员的风险感知是如何衡量的,有助于更好地了解飞行员参与风险的倾向,并有助于设计减轻风险行为的培训计划。方法进行系统回顾,以建立风险的个体预测因素与危险飞行行为之间的联系。该系统审查使用PRISMA指南进行,时间跨度为1985年至2021年。16篇符合入选标准的文章被披露。结果16篇文章中有3篇对危险飞行行为采用了原位行为测量。预测,即个人预测他/她的行动在特定情况下是推断飞行员冒险行为的最常用的衡量标准。没有任何预测变量能够可靠地预测飞行员的危险飞行行为。结论这篇系统综述强调了大多数研究风险的个体预测因素与危险飞行行为之间的关系,这些研究依赖于自我报告的测量或量表,而不是现场表现测量,如飞行过程中或模拟器中捕获的数据。这种性能指标容易受到需求特征的影响。
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The Link between Individual Predictors of Risk and Risky Flight Behavior: A Systematic Review
ABSTRACT Objective The aim of this systematic review is to highlight how pilots’ risk perception is measured, and the relationship between individual predictors of risk and risky flight behavior. Background Risk is an intrinsic part of life with no action void of risk. Risk-taking is mediated by several factors which include age, sex, cultural background, and personality. Understanding how pilots’ risk perception is measured allows for improved understanding of pilots’ propensity to engage in risk, and for the design of training initiatives to mitigate risky behavior. Method A systematic review was conducted to establish the link between individual predictors of risk, and risky flight behavior. The systematic review was conducted using the PRISMA guidelines, covering the time span between 1985 and 2021. Sixteen articles meeting the inclusion criteria were revealed. Results Three of the 16 articles employed an in-situ behavioral measure for risky flight behavior. Forecasting, where an individual predicts his/her action in a particular circumstance was the most used measure to deduce pilots’ risk-taking behavior. No predictor variable reliably predicted pilots’ risky flight behavior. Conclusion This systematic review highlights the majority of research examining the relationship between individual predictors of risk, and risky flight behavior relies on self-reported measures or scales as opposed to in-situ performance measures such as data captured during flight or in a simulator. Such performance measures are susceptible to demand characteristics.
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自引率
7.70%
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