数字标牌的下一代物理分析

Mateusz Mikusz, A. Noulas, N. Davies, S. Clinch, A. Friday
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引用次数: 11

摘要

传统的数字标牌分析是基于以显示为中心的世界观,报告显示内容的数据,增加观看频率和可能的受众人口统计分类。这些系统无法提供的是对观众整体内容体验的洞察。例如,如果我们想要了解在物理分布的数字标牌网络中放置内容以优化内容曝光,那么这是有问题的。在本文中,我们提出了一种将移动性模拟与综合标牌分析数据相结合的新方法,以提供以观众为中心的物理分析。我们的方法使我们能够首次从观众的角度提出分析问题,包括估计整个标牌网络中不同用户群体对特定内容的暴露程度。我们描述了一个概念验证实现,展示了我们方法的可行性,并提供了潜在应用程序和分析报告的概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Next Generation Physical Analytics for Digital Signage
Traditional digital signage analytics are based on a display-centric view of the world, reporting data on the content shown augmented with frequency of views and possibly classification of the audience demographics. What these systems are unable to provide, are insights into viewers' overall experience of content. This is problematic if we want to understand where, for example, to place content in a network of physically distributed digital signs to optimise content exposure. In this paper we propose a new approach that combines mobility simulations with comprehensive signage analytics data to provide viewer-centric physical analytics. Our approach enables us to ask questions of the analytics from the viewer's perspective for the first time, including estimating the exposure of different user groups to specific content across the entire signage network. We describe a proof of concept implementation that demonstrates the feasibility of our approach, and provide an overview of potential applications and analytics reports.
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