EAGER: Digital Interventions for Reducing Social Networking Risks in Adolescents

青少年在在线社交网络中从事危险行为的风险更高。该项目开发数字干预解决方案，以激励，教育，支持和促进青少年的安全社交网络行为。它大大扩展了目前对青少年从事危险在线行为的动机的理解，以及减少青少年接触此类行为的最先进的解决方案。该项目旨在教育和提供长期改善青少年的在线安全，这有利于最脆弱但也是受教育可塑性最强的人群之一。在该项目中，研究人员调查了使青少年易受危险社交网络行为影响的心理机制与可以增加安全增强行为的及时干预之间的联系。研究人员开发了有效检测青少年危险行为的通知和警告。风险通知和警告的设计利用了社交网络提供的社会、空间和时间维度的独特组合。此外，研究人员利用加密和其他工具的元素来设计奖励机制，这些机制（i）在有效和持续的基础上传达和加强安全信息，（ii）为用户参与提供动力，（iii）其正确性可以由其他用户私下验证。用户研究旨在评估他们提出的解决方案的有效性。与使用事后自我报告调查的标准方法不同，他们的评估方法可以捕捉用户的真实的风险行为，并在这些行为发生时采取措施。

Adolescents are at higher risk of engaging in risky behaviors in online social networks. This project develops digital intervention solutions to motivate, educate, support and engender safe social networking behaviors among adolescents. It significantly extends the current understanding of adolescent motivations for engaging in risky online behaviors and the state-of-the-art solutions for reducing adolescent exposure to such behaviors. This project aims to educate and provide long-term improvements in online safety for adolescents, which benefits one of the most vulnerable but also educationally malleable segments of the population.In this project, the researchers investigate the connection between psychological mechanisms that render adolescents vulnerable to risky social networking behaviors and just-in-time interventions that can increase safety-enhancing behaviors. The researchers develop notifications and warnings for effectively detecting adolescents' risky behaviors. The designs of risk notifications and warnings leverage the unique combinations of social, spatial and temporal dimensions provided by social networks. In addition, the researchers leverage elements of cryptographic and other tools to devise reward mechanisms that (i) convey and reinforce safety information in an effective and ongoing basis, (ii) provide motivation for user participation, and (iii) whose correctness can be privately verified by other users. User studies are designed to evaluate the effectiveness of their proposed solutions. Instead of the standard approach of using post-hoc, self-report surveys, their evaluation approach could capture users' real risky behaviors with measures taken at the time those behaviors occur.