ViewerCentric - Visualization engineering towards a tool for media discoverability

ViewerCentric - 针对媒体可发现性工具的可视化工程

• 批准号: 508078-2017
• 负责人: Diamond, Sara
• 金额: $ 1.82万
• 依托单位: OCAD University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640105
• 关键词: ViewerCentric; Visualization; engineering; towards; tool

This research project will apply data analytics strategies and visualization best practices to the development ofViewerCentric, a software that will allow users to understand various characteristics of an audience, includingpreferences, brand affinities and location within the social media realm. The visualization of complex data willaid content creators in better understanding their audiences and thus lead to the discovery of their content.Discoverability includes understanding audience characteristics. The projects will explore means to combinemultiple data sets and to present the results in such a way that users can take action. We will extend thelearnings to broader partnered research on discoverability of cultural objects working closely with CEO MoyraRogers of Magnify Digital, a Canadian SME. The goal is the development of ViewerCentric (ALERT-TV+) anautomatic proprietary system that will provide content creators with the means to develop effective andmeasurable, online marketing strategies; find and assess audiences, identify opportune channels for reachingthese, and evaluate messaging, funding and advertising opportunities and reports that can be submitted tofunders, broadcasters, sponsors, and stakeholders. Researchers will extend the system to other cultural contentthat has or could have a digital component or tag such as visual art, live entertainment, music and publishing -supporting its discoverability and user analytics. Currently editors and independent producers rely on hunchesand creative vision without understanding the varied demographic differences of their audiences into account,while advertising agencies and brands primarily consider data. The objective is to help cultural industries andnot-for-profits monetize content and balance personalization, market drivers and editorial direction.

该研究项目将应用数据分析策略和可视化最佳实践开发ViewerCentric，该软件将允许用户了解受众的各种特征，包括偏好，品牌亲和力和社交媒体领域中的位置。复杂数据的可视化将使内容创建者更好地了解他们的受众，从而发现他们的内容。可发现性包括了解受众特征。这些项目将探讨如何将多个数据集结合起来，并以用户可以采取行动的方式提出结果。我们将把研究成果扩展到更广泛的合作研究，与加拿大中小企业Magnify Digital的首席执行官MoyraRogers密切合作，研究文物的可复制性。其目标是开发以观众为中心（ALERT-TV+）的自动专有系统，该系统将为内容创建者提供制定有效和可衡量的在线营销策略的方法;寻找和评估受众，确定接触这些受众的适当渠道，并评估消息传递，资金和广告机会以及可以提交给资助者，广播公司，赞助商和利益相关者的报告。研究人员将该系统扩展到其他具有或可能具有数字组件或标签的文化内容，如视觉艺术，现场娱乐，音乐和出版-支持其可扩展性和用户分析。目前，编辑和独立制片人依靠直觉和创造性的眼光，而不了解他们的观众的各种人口差异，而广告公司和品牌主要考虑数据。其目标是帮助文化产业和非营利组织将内容货币化，并平衡个性化，市场驱动力和编辑方向。