Dynamic, Real time, On-demand Personalisation for Scaling (DROPS)
Dynamic, Real time, On-demand Personalisation for Scaling (DROPS)
批准号:
EP/R033838/1
负责人:
Irene Ng
金额:
$86.99万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
隐私是一项人权和价值,在技术背景下往往受到威胁。虽然在这个主题上已经做了很多研究,但在现代技术时代,隐私保护技术必须跟上最先进的技术发展,如动态个性化技术。个性化技术的运作基于收集个人数据,动态分析它以推断有关用户的知识,并提供为用户增加价值的即时响应。然而,这项技术对隐私的影响还没有得到广泛的探讨。DROPS将通过对儿童阅读个性化电子书开发过程中出现的隐私、信任和身份问题进行审查来解决这一问题。我们关注儿童阅读的动机是有证据表明个性化电子书对学习和阅读乐趣的价值,但缺乏研究这些技术引入的一系列隐私问题。DROPS有两个广泛的协同目标:i)开发一个ThingsSpace,以保护用户个人数据的方式管理个性化技术(如电子书)的计算过程。ThingsSpace将使用现有的个人数据存储HAT来存储电子书算法随后使用的个人数据,以适应儿童的教学需求ii)将ThingsSpace用作跳板,以记录和评估其设计和使用所产生的隐私,信任和身份问题。这种评估将导致不同的经济和商业模式的发展,从而与技术设计形成反馈循环。在项目的所有阶段,我们将与ThingsSpace的未来最终用户(出版商、中小企业、个性化数字产品的设计者)和个性化电子书的最终用户(教师、家长、儿童)共同创造这项技术。这种多方利益相关者的方法将使我们能够确保电子书的理想价值ThingsSpace的代码将是开源的,以允许其他研究人员和商业团体将我们的项目发现转移到目前使用数字个性化的不同领域,例如,金融、医疗保健、社交媒体。
英文摘要
Privacy is a human right and value that often under threat in the context of technology. While much research has been done on this topic, in the modern era of technology privacy preserving technologies must keep in pace with state of the art technological developments, as in the case of dynamically personalised technologies. Personalised technologies operate on the basis of collecting personal data, dynamically analysing it to infer knowledge about the user and providing in-the-moment responses that add value for the user. The privacy implications of this technology, however, have been not explored extensively. DROPS will address this through an examination of the privacy, trust and identity issues that arise from the development of personalized e-books for children's reading. Our focus on children's reading is motivated by evidence that shows the value of personalised e-books for learning and reading enjoyment, and yet the lack of research that engages with the range of privacy issues that these technologies introduce. DROPS has two broad synergetic goals: i) To develop a ThingsSpace that manages the computational process of personalizing technology, such as e-books, in such a way that a user's personal data is protected. ThingsSpace will use an existing personal data store, the HAT, to store personal data subsequently used by the e-book's algorithm to adapt to the child's pedagogical needs ii) To use ThingsSpace as a springboard to document and evaluate the privacy, trust and identity issues resulting from its design and use. This evaluation will lead to the development of different economic and business models creating a feedback loop with the technical design. Across all of the project stages, we will co-create the technology with future end users of ThingsSpace (publishers, SMEs, designers of personalized digital products) and end users of personalised e-books (teachers, parents, children). This multi-stakeholder approach will allow us to ensure that the aspired values of e-books (for learning and privacy) are aligned with the economic models used to monetise this technology and the technical platform that delivers it. The code for ThingsSpace will be open source in order to allow other researchers and commercial parties to transfer our project findings to the diverse domains that digital personalisation is currently used, e.g. Finance, HealthCare, Social Media.
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