Collaborative Research: Uncovering the Effects of Body-Worn Cameras on Officer and Community Outcomes

合作研究：揭示随身摄像头对警官和社区结果的影响

• 批准号: 2317448
• 负责人: Daniel Ravid
• 金额: $ 56.28万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2317448&HistoricalAwards=false
• 关键词: Collaborative; Research; Uncovering; Effects; Body

Organizations are increasingly relying on technological systems to monitor, analyze, and influence employee work behaviors. One prominent example is the adoption and deployment of body-worn cameras by law enforcement organizations. Body worn cameras are small video and audio recording devices that law enforcement officers wear when in the field and when interacting with the public. Body-worn cameras have a variety of technological features that can potentially transform officer training, accountability, and performance, and increase or decrease community trust in law enforcement. However, previous findings on the effects of body-worn cameras on individuals and organizations have varied widely. The goal of this project is to better understand how individual, organizational, environmental, and technological factors interact to influence how officers and the communities they serve respond to body-worn cameras. The project collects data from multiple sources to answer research questions about the effects of body-worn cameras. In the first phase of data collection, the project team collects survey data from patrol officers working in nearly 60 agencies that use body-worn cameras. The surveys include measures of burnout, well-being, proactivity, and attitudes regarding their organizations and body-worn cameras. The project team also conducts interviews with high-ranking officers from each of these agencies to better understand body-worn camera implementation in each agency. In the second phase of data collection, community members from each of the jurisdictions that the participating law enforcement agencies serve are surveyed regarding their attitudes about their local agency and about law enforcement technologies. Community sentiments are triangulated using by colling data from social media posts using natural language processing techniques. These multi-level multi-source data allow the project team to test a model of the effects of body-worn cameras on officers and communities and create fundamental knowledge about the ways organizations operate in modern digital contexts, building critical theoretical groundwork to inform future design and policy of body-worn camera use in law enforcement organizations. This project is jointly funded by the Science of Organizations Program (SoO) and the Established Program to Stimulate Competitive Research (EPSCoR).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

组织越来越依靠技术系统来监视，分析和影响员工的工作行为。一个突出的例子是执法组织采用和部署了磨损的摄像机。身体磨损的摄像头是执法人员在现场和与公众互动时穿着的小型视频和音频录音设备。人体破旧的摄像机具有多种技术特征，可以改变军官培训，问责制和绩效，并增加或减少社区对执法部门的信任。但是，先前关于磨损摄像机对个人和组织的影响的发现差异很大。该项目的目的是更好地了解个人，组织，环境和技术因素如何相互作用，以影响他们所服务的官员和社区如何应对造成的人体摄影机。 该项目从多个来源收集数据，以回答有关型型摄像机影响的研究问题。在数据收集的第一阶段，项目团队从使用杂乱的摄像头的近60个机构中收集了巡逻人员的调查数据。这些调查包括对其组织和脱衣相机的倦怠，福祉，积极性和态度的衡量标准。项目团队还对这些机构中每个机构的高级官员进行了访谈，以更好地了解每个代理机构中磨损的相机实施。在数据收集的第二阶段中，对参与执法机构服务的每个司法管辖区的社区成员进行了有关其对当地机构和执法技术的态度的调查。通过使用自然语言处理技术从社交媒体帖子中汇总数据，将社区情感进行三角构想。这些多层次多源数据使项目团队能够测试人体贬值相机对官员和社区的影响的模型，并创建有关组织在现代数字环境中运作的方式的基本知识，从而为执法组织中的未来理论基础工作提供了重要的理论基础，以为未来的设计和扮演型摄影机的使用。该项目由组织科学计划（SOO）共同资助，启发竞争研究的既定计划（EPSCOR）。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛影响的审查标准来评估值得通过评估来支持的。