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SID: An Exploration of Super-Identity

SID：超级身份的探索

基本信息

批准号：
EP/J004995/1
负责人：
Sarah Stevenage
金额：
$ 242.77万
依托单位：
University of Southampton
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2011
资助国家：
英国
起止时间：
2011 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FJ004995%2F1
关键词：
SID Exploration Super Identity

项目摘要

The capacity to identify one another is paramount. It underpins social dialogue, commercial transactions, individual entitlements to goods and services and issues of legal and criminal responsibility. In today's society, each of these activities can take place both within the real world and the cyber world making the concept of identity, and the process of identification, more challenging than ever before. The SID project addresses this challenge through an ambitious and innovative programme of work, bringing together experts from a diverse spectrum of scientific domains ranging from automated biometrics, cyber-psychology, forensic anthropology, human-computer interaction, mathematical modelling, and complex data visualisation. In addition, the project is backed by key industrial and governmental stakeholders, represented through an Advisory Group and providing direct input throughout the project.The first stage of the project is to define the set of identity measures of interest and to gather relevant datasets either from existing resources, or through active data collection from participants across diverse demographic populations. Our measures of interest will fall into four categories: static and behavioural measures in the real world; and static and behavioural measures in the cyber world. These measures will be the basis for our model of Super-Identity, and their selection will be informed by the input of analysts, and end-users within intelligence, e-commerce and forensic sectors. At this early stage, and throughout the life of the project, we explicitly examine the social, legal and ethical considerations associated with data privacy and data protection. Work Package 1 addresses these issues.Once this framework is in place, extensive testing will be conducted to determine the accuracy and reliability of automated and human identification from each measure. This will determine (i) the confidence that should be attributed to each measure, (ii) the effect that changing contexts may have on that measure and (iii) the potential relationship between measures. The results of this phase of work will continually update our Super-Identity model enabling measures to be combined, cross-referenced, and weighted according to their individual confidence estimates. Work Package 2 addresses these issues.Consideration of how to present the information to the end user is the crucial next stage. With the benefit of expertise in human computer interaction and data visualisation, and the participatory engagement from end-users, the model will be refined with specific attention to its visual presentation in a flexible yet intuitive format. Work Package 3 addresses these issues.In combination, SID provides fusion of known measures, revelation of unknown measures, and quantification of certainty associated with each measure, and thus the identification decision overall. In this way, it provides a step-change in the way that we think about identity and identification, and in the value that it might hold for the real world.

相互识别的能力至关重要。它是社会对话、商业交易、个人获得商品和服务的权利以及法律的和刑事责任问题的基础。在当今社会，这些活动中的每一个都可以在真实的世界和网络世界中发生，这使得身份的概念和身份识别的过程比以往任何时候都更具挑战性。SID项目通过一项雄心勃勃的创新工作计划来应对这一挑战，汇集了来自自动生物识别，网络心理学，法医人类学，人机交互，数学建模和复杂数据可视化等不同科学领域的专家。此外，该项目还得到了主要工业和政府利益攸关方的支持，这些利益攸关方通过一个咨询小组提供代表，并在整个项目过程中提供直接投入，项目的第一阶段是确定一套感兴趣的身份衡量标准，并从现有资源或通过从不同人口群体的参与者积极收集数据来收集相关数据集。我们的利益衡量标准将分为四类：真实的世界中的静态和行为衡量标准;以及网络世界中的静态和行为衡量标准。这些措施将是我们超级身份模型的基础，它们的选择将根据情报，电子商务和法医部门的分析师和最终用户的投入而定。在这个早期阶段，以及整个项目的生命周期中，我们明确地检查与数据隐私和数据保护相关的社会、法律的和道德考虑因素。工作包1解决了这些问题。一旦这个框架到位，将进行广泛的测试，以确定每个措施的自动和人工识别的准确性和可靠性。这将确定：（一）应赋予每项措施的置信度;（二）不断变化的背景可能对该措施产生的影响;（三）措施之间的潜在关系。这一阶段的工作结果将不断更新我们的超级身份模型，使措施能够根据各自的置信度估计进行组合，交叉引用和加权。工作包2解决了这些问题。考虑如何将信息呈现给最终用户是下一个关键阶段。借助人机交互和数据可视化方面的专业知识，以及最终用户的参与性参与，该模型将以灵活而直观的格式进行改进，特别注意其视觉呈现。工作包3解决了这些问题。结合起来，SID提供了已知测量的融合，未知测量的揭示，以及与每个测量相关的确定性的量化，从而提供了整体的识别决策。通过这种方式，它为我们思考身份和认同的方式以及它可能为真实的世界所持有的价值提供了一个台阶式的变化。