Extracting social semantics from multimodal meeting content

Zhiwen Yu, Xingshe Zhou, Yuichi Nakamura

科研成果: 期刊稿件文章同行评审

3 引用 (Scopus)

摘要

The article presents a framework for extracting both low-level (individual) and high-level (group) semantics. Meetings are a human collaboration process encapsulating a large amount of social and communicative information. The key challenges in creating effective collaborations might be social rather than technical, owing to the dynamics of information exchange. Social factors are thus a fundamental aspect of meeting efficacy. Social semantics are particularly important for understanding the social dynamics occurring during a meeting. Once the basic features have been detected, they are used to infer the interaction occasion. There are two types of interaction occasions: spontaneous or reactive. The interaction occasion can be automatically recognized. An interaction flow is a list of all interactions in a discussion session, with triggering relationships between them.

源语言英语
文章编号6253196
页(从-至)68-75
页数8
期刊IEEE Pervasive Computing
12
2
DOI
出版状态已出版 - 4月 2013

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