Understanding the Audience through Low-Level Interaction Data

通过低级交互数据了解受众

• 批准号: 1943498
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1943498
• 关键词: Understanding; Audience; through; Low; Level

Collaboratively with the BBC the student is undertaking a series of investigative activities to understand how data around audience interaction with broadcast or online media can be used to measure enjoyment/engagement. Activities include:Investigating the literature to understand the types of data that may need to be collected and potential techniques with which it can be analysed and modelled;Developing techniques for collecting data and designing experiments in which to apply these;Collecting data in both small-scale lab experiments and at large-scale 'in the wild';Applying data science/machine learning techniques to analyse data;Developing and testing models of behaviour that indicate the extent to which an experience is successful.The project enables the student to investigate research questions that will further understanding in both data science and interaction science. This research is centred on a 'real-world' problem, with access to the raw materials of data and industry experts at the BBC. The primary output of the studentship will be one or more models of how user engagement/behaviour manifests itself as interaction data.The BBC gain understanding of the value of collecting different types of user data, and will be able to apply these models to audience data, thereby learning more about users and experiences.

与英国广播公司合作，学生正在进行一系列的调查活动，以了解如何围绕观众与广播或在线媒体互动的数据可以用来衡量享受/参与。活动包括：调查文献，以了解可能需要收集的数据类型以及可以对其进行分析和建模的潜在技术;开发收集数据的技术并设计应用这些技术的实验;在小规模实验室实验和大规模“野外”收集数据;应用数据科学/机器学习技术分析数据;开发和测试行为模型，表明体验成功的程度。该项目使学生能够调查研究问题，进一步了解数据科学和交互科学。这项研究以“现实世界”问题为中心，可以访问BBC的数据和行业专家的原始材料。该研究项目的主要成果将是一个或多个关于用户参与/行为如何表现为交互数据的模型。BBC将了解收集不同类型用户数据的价值，并将能够将这些模型应用于受众数据，从而更多地了解用户和体验。