TC:Large:Nudging Users Towards Privacy

做出“正确”的隐私决定--也就是说，以最大限度地提高用户福利的方式平衡个人信息的披露和保护--是困难的。复杂性是如此之大，以至于我们在这方面的判断很容易出错，导致我们后来可能会后悔的决定。这些错误源于缺乏信息或计算能力，但也源于自我控制和自我洞察力有限的问题。我们的研究重点是设计和测试系统，预测和对抗阻碍用户隐私（以及安全）决策的认知和行为偏见。我们的方法是由越来越多的行为经济学研究机构？软，？或不对称，家长作风，以及行为决策研究和可用性研究。受这些研究流的启发，我们设计和研究系统，“轻推”用户对某些隐私或安全行为？用户自己已经声明喜欢的或经验证据已经证明是有益的。帮助用户避免错误，减少遗憾，并更快地实现共享和保护个人信息之间的理想平衡，具有明显而重大的社会重要性。然而，我们的研究也将通过推进我们对隐私决策困难的理解，以及如何对抗对隐私和安全敏感行为产生不利影响的偏见，为隐私（和安全）技术人员和政策制定者的工作提供信息。

Making the ``right'' privacy decision --- that is, balancing revelation and protection of personal information in ways that maximize a user's welfare --- is difficult. The complexity is such that our judgments in this area are prone to errors, leading to decisions that we may later stand to regret. These errors stem from lack of information or computational ability; but also from problems of self-control and limited self-insight. Our research focuses on designing and testing systems that anticipate and counter cognitive and behavioral biases that hamper users' privacy (as well as security) decision making. Our approach is informed by the growing body of behavioral economics research on ?soft,? or asymmetric, paternalism, as well as by research in behavioral decision research and usability. Inspired by these streams of research, we design and study systems that ``nudge'' users towards certain privacy or security behaviors ? which the users themselves have stated to prefer, or which empirical evidence has demonstrated to be beneficial. Helping users avoid mistakes, decrease regret, and achieve more rapidly the desired balance between sharing and protecting personal information has clear, and significant, societal importance. However, our research will also inform the work of privacy (and security) technologists and policy makers by advancing our understanding of what makes privacy decision making difficult, and how to counter biases that adversely affect privacy- and security-sensitive behavior.