Horizon CDT Year 1

地平线 CDT 第 1 年

• 批准号: 2887466
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2887466
• 关键词: Horizon; CDT; Year

Rider Spoke is a project that invites you to cycle alone through the city with a smartphone attached to your handlebars. Guided by the voice of a narrator, you are asked questions about your life and then search for a place to record your answer to each one. As you cycle, you choose whether to answer another question or listen to the answers left by other cyclists.Conceived by Blast Theory in 2007 as a response to the emergence of user-generated content, the project facilitates contributions from its audiences that are open, intimate and reflective. After taking part, audiences commonly report a feeling of recognition in the recordings they listen to, and a renewed sense of belonging to the city and its people.The project has toured to 30 cities around the world with about twenty-five thousand audience recordings being made in that time. As such, it offers a unique opportunity to study how sharing personal stories can contribute to social cohesion and explore the potential that machine learning and large language models might play in this context.What new insights about the stories shared within Rider Spoke can these technologies produce? And how might these technologies be used by artists and designers of mixed reality experiences to support social cohesion?I will combine linguistic and machine learning approaches to study the stories and data saved in Rider Spoke recordings. And - informed by insights from this study - I will design a series of novel public prototypes that test potential roles for AI in supporting social cohesion on new platforms, and in new contexts.This author is supported by the Horizon Centre for Doctoral Training at the University of Nottingham (UKRI Grant No. EP/S023305/1).

Rider Skok是一个邀请您独自骑车的项目，并带有智能手机，并附有智能手机。在叙述者的声音的指导下，您会被问到有关生活的问题，然后寻找一个在每个人身上记录答案的地方。当您循环时，您选择是回答另一个问题还是聆听其他骑自行车的人的答案。Blast理论在2007年被认为是对用户生成内容的出现的回应，该项目促进了其开放，亲密和反思的受众的贡献。参加比赛后，观众通常会在他们听的录音中报告一种认可的感觉，并有一种重新归属于城市及其人民的感觉。该项目已巡回演出，巡回演出了世界各地的30个城市，当时有大约二十五千个观众录音。因此，它提供了一个独特的机会来研究分享个人故事如何有助于社会凝聚力并探索机器学习和大型语言模型在这种情况下可能发挥的潜力。这些技术在骑手说话中共享的故事的新见解可以产生什么？这些技术如何被混合现实经验的艺术家和设计师使用来支持社会凝聚力？我将结合语言和机器学习方法来研究骑手讲话中保存的故事和数据。 - 通过本研究的见解，我将设计一系列新型的公共原型，这些原型测试了AI在新平台上支持社会凝聚力的潜在作用，在新平台上。这本作者得到了诺丁汉大学的地平线博士培训中心（UKRI Grant No. EP/S023305/1）。