EAGER: DCL: SaTC: Enabling Interdisciplinary Collaboration: Adapting Economic Games to Personalize Privacy and Security Nudges

现代社交系统，从电子邮件到社交媒体系统，为用户提供了数量惊人的决策。此外，隐私和安全配置往往是隐藏和不透明的。因此，个人很难以与其偏好一致的方式管理配置和行为。不良行为者或敌对代理可以利用糟糕的设置和用户不确定性导致的模棱两可或信息泄露来寻找虚假信息和网络钓鱼的攻击路线。相反，需要共享数据的有益于社会的行为也会受到阻碍。更好地理解偏好、行为和界面之间的关系有助于解决这些问题。通过了解个人偏好及其与员工行为的关系，可以保护企业在防止网络钓鱼方面的利益。当偏好与有益于社会的数据行为冲突时，可以应用个性化干预。这个项目综合了行为经济学和计算的见解来促进信息安全。项目团队试图通过使用决策和博弈论经济博弈对个人偏好进行建模来确定个人风险、模糊性和信息偏好来应对这一挑战。实验游戏模拟竞争和合作的激励和策略，例如在囚徒困境游戏中。这些类型的游戏的吸引力在于，它们中相对较小的子集可能有助于对预测广泛现实世界行为的一组偏好进行建模。该团队正在修改这些游戏，以更好地与社交媒体系统中的真实世界沟通任务保持一致。行为实验可以为游戏的预测价值提供新的证据，并验证它们在新环境中的使用。结果可能会通过分离出更简单的激励兼容工具来改变人机交互、安全和隐私研究和设计方面的工作，这些工具对用户偏好进行建模，并与行为很好地关联。这种联系使得从个性化接口到对个人或社会有益的干预成为可能。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Modern social communication systems, ranging from email to social media systems, present a dizzying number of decisions for their users. Moreover, privacy and security configurations are often hidden and opaque. Thus it is hard for individuals to manage configurations and behaviors in ways that are consistent with their preferences. Bad actors or adversarial agents can take advantage of ambiguity or information leaks that result from poor settings and user uncertainty to find attack routes for disinformation and phishing. Conversely, socially beneficial behaviors that require data sharing are also hindered. A better understanding of the relationships among preferences, behaviors, and interfaces can help address these concerns. Business interests in preventing phishing can be preserved by understanding individual preferences and their relationship to employee behaviors. Personalized interventions can be applied when preferences conflict with socially beneficial data behaviors. This project synthesizes insights from behavioral economics and computing to promote information security.The project team seeks to tackle this challenge by modeling individual preferences through the use of decision- and game- theoretic economic games to identify individual risk, ambiguity, and information preferences. The experimental games simulate competing and cooperating incentives and strategies, such as in the Prisoner’s Dilemma game. The appeal of these types of games is that a comparatively small subset of them may be useful to model a set of preferences that are predictive of a broad range of real-world behaviors. The team is modifying these games to better align with real-world communication tasks in a social media system. Behavioral experiments can provide novel evidence of the predictive value of the games and validate their use in novel contexts. The results may transform work in human-computer interaction, security, and privacy research and design by isolating simpler incentive-compatible instruments that model user preferences and correlate well with behaviors. This connection enables novel interventions from personalized interfaces to personally or socially beneficial interventions.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.