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.

组织越来越依赖技术系统来监控、分析和影响员工的工作行为。一个突出的例子是执法机构采用和部署了随身携带的摄像头。佩戴式摄像机是执法人员在现场和与公众互动时佩戴的小型视频和音频记录设备。佩戴式摄像头具有多种技术功能，可以潜在地改变官员培训，问责制和绩效，并增加或减少社区对执法的信任。然而，以前关于随身携带的相机对个人和组织的影响的研究结果差异很大。该项目的目标是更好地了解个人，组织，环境和技术因素如何相互作用，以影响官员和他们所服务的社区对身体佩戴式摄像机的反应。 该项目从多个来源收集数据，以回答有关身体佩戴相机影响的研究问题。在数据收集的第一阶段，项目小组从近60个使用随身摄像机的机构的巡逻人员那里收集调查数据。这些调查包括对职业倦怠、幸福感、积极性以及对他们的组织和随身携带的相机的态度的测量。项目小组还与这些机构的高级官员进行了访谈，以更好地了解每个机构的佩戴式摄像机实施情况。在数据收集的第二阶段，对参与执法机构所服务的每个管辖区的社区成员进行调查，了解他们对当地机构和执法技术的态度。社区情绪通过使用自然语言处理技术从社交媒体帖子中收集数据进行三角测量。这些多层次多源数据使项目团队能够测试佩戴式摄像机对官员和社区影响的模型，并创建有关组织在现代数字环境中运作方式的基本知识，建立关键的理论基础，为执法组织中佩戴式摄像机的未来设计和政策提供信息。该项目由组织科学计划（SoO）和激励竞争研究的既定计划（EPSCoR）共同资助。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。