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生物识别技术与警务:执法行动中多通道传感器数据收集及情境化心理生理反应探索性分析的协议

Biometrics and Policing: A Protocol for Multichannel Sensor Data Collection and Exploratory Analysis of Contextualized Psychophysiological Response During Law Enforcement Operations.

作者信息

Furberg Robert D, Taniguchi Travis, Aagaard Brian, Ortiz Alexa M, Hegarty-Craver Meghan, Gilchrist Kristin H, Ridenour Ty A

机构信息

Digital Health & Clinical Informatics, RTI International, Research Triangle Park, NC, United States.

Policing Research Program, RTI International, Research Triangle Park, NC, United States.

出版信息

JMIR Res Protoc. 2017 Mar 17;6(3):e44. doi: 10.2196/resprot.7499.

Abstract

BACKGROUND

Stress experienced by law enforcement officers is often extreme and is in many ways unique among professions. Although past research on officer stress is informative, it is limited, and most studies measure stress using self-report questionnaires or observational studies that have limited generalizability. We know of no research studies that have attempted to track direct physiological stress responses in high fidelity, especially within an operational police setting. The outcome of this project will have an impact on both practitioners and policing researchers. To do so, we will establish a capacity to obtain complex, multisensor data; process complex datasets; and establish the methods needed to conduct idiopathic clinical trials on behavioral interventions in similar contexts.

OBJECTIVE

The objective of this pilot study is to demonstrate the practicality and utility of wrist-worn biometric sensor-based research in a law enforcement agency.

METHODS

We will use nonprobability convenience-based sampling to recruit 2-3 participants from the police department in Durham, North Carolina, USA.

RESULTS

Data collection was conducted in 2016. We will analyze data in early 2017 and disseminate our results via peer reviewed publications in late 2017.

CONCLUSIONS

We developed the Biometrics & Policing Demonstration project to provide a proof of concept on collecting biometric data in a law enforcement setting. This effort will enable us to (1) address the regulatory approvals needed to collect data, including human participant considerations, (2) demonstrate the ability to use biometric tracking technology in a policing setting, (3) link biometric data to law enforcement data, and (4) explore project results for law enforcement policy and training.

摘要

背景

执法人员所经历的压力往往极大,且在许多方面在职业中独具特色。尽管过去关于执法人员压力的研究颇具参考价值,但仍有局限,大多数研究使用自我报告问卷或观察性研究来衡量压力,而这些研究的普遍性有限。我们所知的研究中,尚无尝试以高保真度追踪直接生理应激反应的,尤其是在实际警务环境中。本项目的成果将对从业者和警务研究人员都产生影响。为此,我们将建立获取复杂多传感器数据的能力、处理复杂数据集的能力,并确立在类似环境中针对行为干预进行特发性临床试验所需的方法。

目的

本试点研究的目的是证明在执法机构中基于腕戴式生物识别传感器的研究的实用性和效用。

方法

我们将采用基于非概率便利抽样的方法,从美国北卡罗来纳州达勒姆市的警察局招募2至3名参与者。

结果

数据收集于2016年进行。我们将在2017年初分析数据,并于2017年末通过同行评审出版物发布研究结果。

结论

我们开展了生物识别与警务示范项目,以提供在执法环境中收集生物识别数据的概念验证。这项工作将使我们能够:(1)解决收集数据所需的监管审批问题,包括对人类受试者的考量;(2)证明在警务环境中使用生物识别追踪技术的能力;(3)将生物识别数据与执法数据相联系;(4)探索项目结果对执法政策和培训的意义。

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