Personalization of Content on Public Displays Driven by the Recognition of Group Context
Personalization of Content on Public Displays Driven by the Recognition of Group Context
复制标题
由群体背景识别驱动的公共展示内容的个性化
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
E. André
中科院分区：
文献类型：
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作者：
Ekaterina Kurdyukova;Stephan Hammer;E. André
公共显示器上的内容的个性化依赖于观众兴趣的知识和社会背景的实时识别。在忙碌的公共场所，每天都有无数的人流动，了解个人的兴趣变得不切实际。本文提出了一种自动个性化的方法，而不是个人档案，依赖于组上下文。该系统根据观众的性格和性别识别公共显示屏前的观众群。因此，该方法为完全自动化的个性化提供了重要的先决条件，不需要来自观众侧的输入，既不需要训练，也不需要实时内容适配。在公共区域进行的实验表明，所提出的方法可以成功地识别不同群体的内容观察的差异。此外，该方法提供了一个深入了解流通群体的多样性，并给出了观众的情感和会话的内容的反应的提示。
Personalization of content on public displays relies on the knowledge of spectator interests and real-time recognition of social context. In busy public places, with numerous individuals circulating daily, the knowledge of individual interests becomes unrealistic. This paper presents an approach for automatic personalization which, instead of individual profiles, relies on group context. The system recognizes the constellation of spectators in front of a public display, based on their disposition and gender. Thus, the approach provides an important prerequisite for a completely automated personalization, requiring no input from the spectator side, neither for training, nor for real-time content adaptation. The experiment conducted in a public area showed that the presented approach can successfully identify the differences in the content observation of various groups. Moreover, the approach provides an insight into the diversity of circulating groups, and gives a hint about spectators’ emotional and conversational response to the content.