Curating conversations across the arts: utilising Internet of Things technologies in arts audience research.

策划跨艺术领域的对话：在艺术观众研究中利用物联网技术。

• 批准号: AH/T002794/1
• 负责人: Charlotte Gilmore
• 金额: $ 25.74万
• 依托单位: Royal Conservatoire of Scotland
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=AH%2FT002794%2F1
• 关键词: Curating; conversations; across; arts; utilising

The Principal Investigator (PI) has developed a reputation for designing and leading innovative research projects across a diverse range of art forms. This study responds to a demand identified in the PI's AHRC Cultural Value project, and her AHRC Creative Economy funded project, through which she developed QUAL (www.qual.org.uk), a qualitative research web-based resource designed with and for arts practitioners and organisations. The PI has identified a need for innovative, cost-effective qualitative audience research experiences that build the in-house research capacity of arts organisations. As an experienced and highly skilled research leader within the arts, the PI's leadership will bring unique insights, cohesion and knowledge to a complex research study that explores the capacity building and creative potential of digital technology within arts research. This Leadership Fellowship will create a transformational step change in arts audience research by harnessing the complementary skills and talents of her specialist team of Research Assistants, programmers and coders based at the University of Edinburgh's Centre for Design Informatics. This ambitious and unique project, made possible and led by the PI, will reimagine the current Ethnobot Internet of Things (IoT) App technology developed by this study's Research Assistants, by advancing the value of chatbot technology in qualitative research. The Ethnobot is an ethnographic research chatbot App for smartphones, pre-programmed with sets of questions and follow up responses in order to curate conversations and capture user's in-the-moment emotions and thoughts on a particular event. This study will advance the research on the use of IoT and AI in qualitative arts audience research through Ethnobot App specifications designed to meet multiple case studies research needs, artistic experiences and audiences. The Ethnobot audience research experiences will be developed specifically for nine artistic projects especially co-commissioned (by the PI and the case study organisation) for this project. The diverse nature of the case study organisations is one of this study's key strengths, as the Ethnobot App technology will be developed and diversified across the different audiences and creative contexts. The result will be Ethnobot Apps that have been explored, developed and stress-tested along a continuum of artistic research contexts, with mobile public art experiences at one end and performance-based research experiences at the other. Specifically in the mobile context, the PI and the team will use the Ethnobot App mobile technologies to explore community regeneration and the lived experiences and impact of public and street art projects and installations among artists, audiences and stakeholders across Scotland's urban and coastal communities. The constellation of organisations brought together by the PI will utilise audience development research projects with: University of Edinburgh's Centre for Research Collections (https://collections.ed.ac.uk), Leith Late (digital mural trail) (www.leithlate.co.uk), Open/Close Dundee (www.openclosedundee.co.uk), The State (www.thestateleith.com), and Room 8 Studio (https://room8studio.wixsite.com/room8studio). In the performance-based context the team will create Ethnobot IoT App research experiences that become an extension and / or embedded in the artistic experience. They will do this through four specially co-commissioned projects with the Red Note Ensemble (www.rednoteensemble.com), Leith Late (film installation) (www.leithlate.co.uk), Craft Scotland (www.craftscotland.org) and NeON (www.northeastofnorth.com). On completion of this Fellowship, the project's Ethnobot Apps will be made freely downloadable from the PI's QUAL website, together with the case study examples and a user guide.

首席研究员(PI)在设计和领导各种艺术形式的创新研究项目方面享有盛誉。这项研究响应了PI的AHRC文化价值项目和她的AHRC创意经济资助项目中确定的需求，通过该项目，她开发了QUAL(www.qual.org.uk)，这是一个由艺术从业者和组织设计的、基于网络的定性研究资源。国际艺术协会已经确定了对创新的、具有成本效益的定性受众研究体验的需求，以建立艺术组织的内部研究能力。作为艺术领域一位经验丰富、技术娴熟的研究领导者，PI的领导力将为一项复杂的研究带来独特的洞察力、凝聚力和知识，该研究旨在探索数字技术在艺术研究中的能力建设和创新潜力。这一领导力奖学金将通过利用她在爱丁堡大学设计信息学中心的研究助理、程序员和程序员组成的专家团队的互补技能和才华，在艺术受众研究方面创造一个变革性的步骤。这一雄心勃勃的独特项目由PI牵头实施，将通过提升聊天机器人技术在定性研究中的价值，重新设想由本研究的研究助理开发的当前民族机器人物联网(IoT)App技术。人种学聊天机器人是一款用于智能手机的人种学研究聊天机器人应用程序，它预先编程了一组问题和后续回答，以策划对话并捕捉用户对特定事件的即时情绪和想法。本研究将通过旨在满足多个案例研究需求、艺术体验和受众的民族机器人应用规范，推进物联网和人工智能在定性艺术受众研究中的应用研究。将专门为九个艺术项目开发民族机器人观众研究经验，特别是为该项目共同委托(由国际和平协会和案例研究组织)。案例研究组织的多样性是这项研究的主要优势之一，因为将根据不同的受众和创意背景开发和多样化的种族机器人应用程序技术。其结果将是经过探索、开发和压力测试的民族机器人应用程序，沿着一系列艺术研究背景进行，一端是流动的公共艺术体验，另一端是基于表演的研究体验。具体地说，在移动环境中，PI和团队将使用ethnobot App移动技术来探索社区再生，以及公共和街道艺术项目和装置在苏格兰城市和沿海社区的艺术家、观众和利益相关者中的生活体验和影响。由PI召集的组织星座将利用以下受众发展研究项目：爱丁堡大学研究收藏中心(https://collections.ed.ac.uk)，Leith Late(数字壁画踪迹)(www.leithlate.co.uk)、开放/关闭邓迪(www.opencedundee.co.uk)、国家(www.thestateleith.com)和8号工作室(https://room8studio.wixsite.com/room8studio).在基于性能的背景下，团队将创建成为艺术体验的延伸和/或嵌入到艺术体验中的民族机器人物联网应用研究体验。他们将通过与Red Note合奏(www.rednote ensemble.com)、Leith Late(电影安装)(www.leithlate.co.uk)、Craft Scotland(www.Craftcotland.org)和Neon(www.northeastofnorth.com)四个特别联合委托项目来做到这一点。在完成这项研究后，该项目的民族机器人应用程序将可从该协会的QUAL网站上免费下载，以及案例研究范例和用户指南。