EAGER: Neurobiological Basis of Decision Making in Online Environments

EAGER：在线环境中决策的神经生物学基础

• 批准号: 1230507
• 负责人: Fariborz Farahmand
• 金额: --
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2013-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1230507&HistoricalAwards=false
• 关键词: EAGER; Neurobiological; Basis; Decision; Making

Considerable research in the field has been focused on developing new technologies to enhance privacy; encryption of personal data is often presented as a potential solution. Many of the technologies resulting from this research are not being effectively utilized because of issues rooted in human judgment under risk and uncertainty. The majority of existing models and products related to human judgement are based on a limited number of documented incidents and on questionable assumptions about user intent and behavior. To better develop and apply privacy technologies requires better methods of understanding and measuring human perceptions of privacy. In this project we are investigating the underlying neurobiological manifestations of privacy, and seeing to understand -- and measure -- variations of uncertainty in online privacy decisions. The outcomes of this proposed project will contribute to answering fundamental questions about human behavior in online environments?e.g., under what circumstances do systems in the mind cooperate or compete in privacy decisions? When there is competition, how and where is it adjudicated? Do higher-level deliberative processes rely similarly on multiple mechanisms, or a single, unitary set of mechanisms? We anticipate these results being used to further refine and develop useful privacy policies and technologies.

该领域的大量研究集中在开发新技术以增强隐私；个人数据加密通常被视为一种潜在的解决方案。由于人类在风险和不确定性下的判断存在问题，这项研究产生的许多技术没有得到有效利用。 大多数与人类判断相关的现有模型和产品都是基于有限数量的记录事件以及关于用户意图和行为的可疑假设。为了更好地开发和应用隐私技术，需要更好的方法来理解和衡量人类对隐私的看法。在这个项目中，我们正在研究隐私的潜在神经生物学表现，并试图理解并测量在线隐私决策中不确定性的变化。该拟议项目的成果将有助于回答有关在线环境中人类行为的基本问题？例如，在什么情况下，大脑中的系统在隐私决策中进行合作或竞争？当存在竞争时，如何以及在哪里进行裁决？更高级别的审议过程是否同样依赖于多种机制，还是单一的、统一的机制集？ 我们预计这些结果将用于进一步完善和开发有用的隐私政策和技术。