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快速评估预测机场安检员视觉搜索能力

Predicting Airport Screening Officers' Visual Search Competency With a Rapid Assessment.

机构信息

The George Washington University, Washington, DC.

Kedlin Company, Bellevue, Washington.

出版信息

Hum Factors. 2018 Mar;60(2):201-211. doi: 10.1177/0018720817743886. Epub 2017 Dec 1.

Abstract

Objective The study's objective was to assess a new personnel selection and assessment tool for aviation security screeners. A mobile app was modified to create a tool, and the question was whether it could predict professional screeners' on-job performance. Background A variety of professions (airport security, radiology, the military, etc.) rely on visual search performance-being able to detect targets. Given the importance of such professions, it is necessary to maximize performance, and one means to do so is to select individuals who excel at visual search. A critical question is whether it is possible to predict search competency within a professional search environment. Method Professional searchers from the USA Transportation Security Administration (TSA) completed a rapid assessment on a tablet-based X-ray simulator (XRAY Screener, derived from the mobile technology app Airport Scanner; Kedlin Company). The assessment contained 72 trials that were simulated X-ray images of bags. Participants searched for prohibited items and tapped on them with their finger. Results Performance on the assessment significantly related to on-job performance measures for the TSA officers such that those who were better XRAY Screener performers were both more accurate and faster at the actual airport checkpoint. Conclusion XRAY Screener successfully predicted on-job performance for professional aviation security officers. While questions remain about the underlying cognitive mechanisms, this quick assessment was found to significantly predict on-job success for a task that relies on visual search performance. Application It may be possible to quickly assess an individual's visual search competency, which could help organizations select new hires and assess their current workforce.

摘要

目的 本研究的目的是评估一种新的航空安全检查员人员选拔和评估工具。修改了一个移动应用程序来创建一个工具,问题是它是否可以预测专业安检员的工作表现。 背景 各种职业(机场安全、放射科、军队等)都依赖于视觉搜索能力——能够检测目标。鉴于这些职业的重要性,有必要最大限度地提高绩效,而实现这一目标的一种方法是选拔擅长视觉搜索的个人。一个关键问题是,在专业搜索环境中,是否有可能预测搜索能力。 方法 来自美国运输安全管理局(TSA)的专业搜索人员在平板电脑上的 X 光模拟器(源自移动技术应用程序 Airport Scanner;Kedlin 公司)上完成了快速评估。评估包含 72 次试验,模拟的是袋子的 X 光图像。参与者搜索违禁物品并用手指点击它们。 结果 评估中的表现与 TSA 官员的工作表现指标显著相关,因此,那些在 XRAY Screener 上表现更好的人在实际机场检查站的准确性和速度都更高。 结论 XRAY Screener 成功预测了专业航空安全人员的工作表现。虽然关于潜在认知机制的问题仍然存在,但这项快速评估被发现可以显著预测依赖视觉搜索性能的工作的成功。 应用 可能可以快速评估个人的视觉搜索能力,这有助于组织选拔新员工并评估其现有员工。

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