CRII: CHS: Mobile Crowdsourcing System for Public Safety

CRII：CHS：公共安全移动众包系统

• 批准号: 1464312
• 负责人: Yun Huang
• 金额: $ 17.31万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1464312&HistoricalAwards=false
• 关键词: CRII; CHS; Mobile; Crowdsourcing; System

Law enforcement agencies have begun to tap into crowdsourcing applications and social media in their practices, such as allowing people to report safety issues via mobile apps and reporting crimes on Twitter. This research aims to investigate key factors that motivate and influence people's willingness to share safety-related information in a mobile social environment. This project not only focuses on advancing knowledge in different disciplines such as crowdsourcing systems, human-computer interaction, social computing, and cognitive decision mechanisms, but also promotes mentoring and training of early-career scientists. This project will bring together faculty and student researchers from different disciplines such as computer science and psychology. Further, using campus safety as a concrete application domain, this work focuses on establishing collaboration between local campus safety agencies and the research community, which can be maintained and expanded to promote public safety in general. Finally, the project will create a mobile crowdsourcing system that can be adopted by all safety agencies of institutions of higher education to help improve campus safety. More broadly, the mobile system can become a model for community policing in an effort to improve public safety nationwide. Specifically, the research will examine how people make decisions regarding sharing safety information as well as design and implement nudge mechanisms that can be used to encourage rather than force people towards sharing such information in an informed and timely manner. Using computational modeling techniques from cognitive psychology, this project will build decision models to explain what factors may impact people's sharing decision-making in this context. Intrinsic factors such as the desire to improve society or the desire for knowledge may play a role, as well as more social/community based factors such as whether people will be hurt or property damaged. The resulting models will be integrated into a mobile crowdsourcing app for campus safety, called S4S (Sharing for Support/Safety), which will be deployed to evaluate the nudges, decision models, and the effectiveness of the system. Success of the proposed research tasks will yield: (a) design suggestions and discussions on the effectiveness and limitations of mechanisms that nudge users to share safety information; and (b) the design and implementation of a production mobile crowdsourcing system, which can be leveraged by public safety agencies to collect rich information on community safety more promptly and efficiently.

执法机构已开始在实践中利用众包应用程序和社交媒体，例如允许人们通过移动的应用程序报告安全问题，并在Twitter上报告犯罪。本研究旨在探讨在移动的社会环境中，人们分享安全相关信息意愿的动机和影响因素。该项目不仅侧重于推进不同学科的知识，如众包系统，人机交互，社交计算和认知决策机制，而且还促进了对早期职业科学家的指导和培训。该项目将汇集来自计算机科学和心理学等不同学科的教师和学生研究人员。此外，使用校园安全作为一个具体的应用领域，这项工作的重点是建立当地校园安全机构和研究界之间的合作，可以保持和扩大，以促进公共安全。最后，该项目将创建一个移动的众包系统，可供高等教育机构的所有安全机构采用，以帮助改善校园安全。 更广泛地说，移动的系统可以成为社区警务的典范，以改善全国范围内的公共安全。具体而言，该研究将研究人们如何做出有关共享安全信息的决定，以及设计和实施可用于鼓励而不是迫使人们以知情和及时的方式共享此类信息的推动机制。利用认知心理学的计算建模技术，该项目将建立决策模型，以解释在这种情况下哪些因素可能影响人们的共享决策。内在因素，如改善社会的愿望或对知识的渴望可能会发挥作用，以及更多的社会/社区为基础的因素，如人们是否会受到伤害或财产受损。由此产生的模型将被集成到一个用于校园安全的移动的众包应用程序中，称为S4 S（支持/安全共享），该应用程序将被部署用于评估轻推，决策模型和系统的有效性。拟议研究任务的成功将产生：（a）设计建议和讨论推动用户分享安全信息的机制的有效性和局限性;（B）设计和实施生产移动的众包系统，公共安全机构可以利用该系统更迅速有效地收集社区安全方面的丰富信息。