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

组织越来越依赖于技术系统来监控、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随身摄像机。随身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。随身摄像机具有各种各样的技术特征，可以潜在地改变警察的培训、问责制和表现，并增加或减少社区对执法的信任。然而，之前关于随身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，影响警察和他们所服务的社区对随身摄像机的反应。该项目从多个来源收集数据，以回答有关随身相机影响的研究问题。在数据收集的第一阶段，项目团队从使用随身摄像机的近60个机构的巡逻人员那里收集调查数据。这些调查包括职业倦怠、幸福感、主动性以及对公司和随身相机的态度。项目小组还与这些机构的高级官员进行面谈，以便更好地了解每个机构的穿戴式摄像机的实施情况。在数据收集的第二阶段，对参与执法机构服务的每个司法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。通过使用自然语言处理技术从社交媒体帖子中收集数据，对社区情绪进行三角测量。这些多层次、多来源的数据使项目团队能够测试穿戴式摄像机对警官和社区的影响模型，并创建有关现代数字环境下组织运作方式的基本知识，为执法机构使用穿戴式摄像机的未来设计和政策提供重要的理论基础。该项目由组织科学计划（SoO）和促进竞争研究的既定计划（EPSCoR）共同资助。该奖项反映了美国国家科学基金会的法定使命，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。

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.