Reel Lives: personal documentaries constructed from digital data.

Reel Lives：由数字数据构建的个人纪录片。

• 批准号: EP/L004062/1
• 负责人: Pamela Briggs
• 金额: $ 144.6万
• 依托单位: Northumbria University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FL004062%2F1
• 关键词: Reel; Lives; personal; documentaries; constructed

New social media has led to an explosion in personal digital data that encompasses both those expressions of self chosen by the individual as well as reflections of self provided by other, third parties. The resulting Digital Personhood (DP) data is complex and for many users it is too easy to become lost in the mire of digital data. This is unfortunate as these digital representations of self are not only valuable to the individual as a means of self-reflection, but also have great information value as a community, business and social policy resource. In this proposal, we argue that the ability to represent and edit personal digital data in a meaningful form is crucial to the empowerment of individuals and communities and that it could also generate significant benefit to government and business. We would also argue that, this 'meaningful form' should include a filmic, narrative structure that is easy to comprehend and edit and that allows for a simply comparison of one digital life with another. In short, we propose building searchable, personal film-like documentaries (that we would term 'Reels') from existing, digital data.To build the Reels, we must first develop the means of capturing online life logs, events and associated data. A variety of means already exist to do this, but we must ensure that we are able to take data that is distributed over multiple social networks and integrate it into a single profile that captures a users interests and experiences, social networks, behaviour, personality and mood states at various points in their own personal timeline. These profiles can then provide us with rich representations and understanding of users' life events and contexts at different points in time, which we can process further to generate video storylines and narrative. A simple time-line structure is insufficient in and of itself to create a meaningful narrative, and a crucial technical issue here regards the extent to which existing digital material can be matched to existing, known narrative structures in order to make sense of a diffuse landscape of events and images. With the right narrative structures in place, the objects, images and events can then be brought to life.Our aim is to develop systems that can convert the available profile data into meaningful personal documentaries (Reels) that individuals can either edit themselves or that can be turned over to film and media professionals to create Reels of intrinsic artistic value. Crucial to this project is the fact that each Reel is completely searchable, because it is generated from underlying semantic data. This allows for the direct comparison of one individual digital life with another or facilitates the collection and comparison of digitally similar Reels that allow enhanced understanding of communities and the citizens within them. We propose a significant period of user and stakeholder engagement with business and community leaders to understand the value of such comparisons.

新的社交媒体导致了个人数字数据的爆炸式增长，其中既包括个人选择的自我表达，也包括其他第三方提供的自我反映。由此产生的数字人格（DP）数据非常复杂，对于许多用户来说，很容易迷失在数字数据的泥潭中。这是不幸的，因为这些自我的数字表示不仅对个人来说是一种有价值的自我反思手段，而且作为社区、商业和社会政策资源也具有巨大的信息价值。在这份提案中，我们认为，以有意义的形式表示和编辑个人数字数据的能力对于增强个人和社区的权能至关重要，它也可以为政府和企业带来重大利益。我们还认为，这种“有意义的形式”应该包括一个电影，叙事结构，易于理解和编辑，并允许一个简单的数字生活与另一个比较。简而言之，我们建议从现有的数字数据中构建可搜索的个人电影般的纪录片（我们称之为“卷轴”）。为了构建卷轴，我们必须首先开发捕获在线生活日志，事件和相关数据的方法。已经存在各种手段来做到这一点，但我们必须确保我们能够采取分布在多个社交网络上的数据，并将其整合到一个单一的配置文件中，该配置文件可以捕获用户在自己的个人时间轴中各个点的兴趣和体验、社交网络、行为、个性和情绪状态。然后，这些配置文件可以为我们提供对用户在不同时间点的生活事件和背景的丰富表示和理解，我们可以进一步处理以生成视频故事情节和叙事。一个简单的时间线结构本身并不足以创造一个有意义的叙事，这里的一个关键技术问题是现有的数字材料可以在多大程度上与现有的已知叙事结构相匹配，以便理解事件和图像的分散景观。通过正确的叙事结构，对象、图像和事件可以被赋予生命。我们的目标是开发一个系统，可以将可用的个人资料数据转换为有意义的个人纪录片（Reels），个人可以编辑自己，也可以交给电影和媒体专业人士，以创建具有内在艺术价值的Reels。这个项目的关键是每个Reel都是完全可搜索的，因为它是从底层语义数据生成的。这允许将一个人的数字生活与另一个人的数字生活进行直接比较，或者促进数字相似卷轴的收集和比较，从而增强对社区及其公民的了解。我们建议用户和利益相关者与企业和社区领导人进行一段时间的接触，以了解这种比较的价值。

项目成果

Human-Computer Interaction - INTERACT 2015 - 15th IFIP TC 13 International Conference, Bamberg, Germany, September 14-18, 2015, Proceedings, Part IV

人机交互 - INTERACT 2015 - 第 15 届 IFIP TC 13 国际会议，德国班贝格，2015 年 9 月 14-18 日，会议记录，第四部分

• DOI: 10.1007/978-3-319-22723-8_41
• 发表时间: 2015
• 作者: Farrow E

"PS. I Love You"

“附言：我爱你”

• DOI: 10.1145/2858036.2858504
• 发表时间: 2016
• 作者: Jamison-Powell S

Identifying Prominent Life Events on Twitter

识别 Twitter 上的重要生活事件

• DOI: 10.1145/2815833.2815845
• 发表时间: 2015
• 作者: Dickinson T

My Life On Film

我的电影生活

• DOI: 10.1145/2851581.2856496
• 发表时间: 2016
• 作者: Aylett M

Social Informatics - SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers

社会信息学 - SocInfo 2014 国际研讨会，西班牙巴塞罗那，2014 年 11 月 11 日，修订后的精选论文

• DOI: 10.1007/978-3-319-15168-7_20
• 发表时间: 2015
• 作者: Choudhury S