Social signal processing
Social signal processing
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DOI：
10.1109/msp.2007.4286569
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发表时间：
2007-07-01
影响因子：
14.9
通讯作者：
Pentland, Alex (Sandy)
中科院分区：
文献类型：
--
作者：
Pentland, Alex (Sandy)
面对面的交流传达社会背景和言语。正是这种社交信号使新信息能够顺利地融入到共享的、群体范围内的理解中。社交信号包括兴趣、决心、友善、无聊以及对社交情境的其他“态度”的信号。心理学家推测，社交信号可能已经发展成为建立等级制度和群体凝聚力的一种方式，因为社交信号的功能是关于关系、资源、风险和奖励的潜意识讨论。在许多情况下，作为社会讨论基础的非语言信号与决定人类行为的意识内容同样重要。接下来，我们将讨论探索性处理社交信号和工具所面临的挑战，这些信号和工具使我们能够预测人类行为，有时甚至超越人类专家的能力。这些工具可能允许计算机和通信系统支持社会和组织角色，而不是将个人视为孤立的实体。示例应用程序包括自动将人们加入具有社会重要性的对话、激发人们之间的对话以建立更牢固的社交网络以及加强家庭联系。
Face-to-face communication conveys social context as well as words. It is this social signaling that allows new information to be smoothly integrated into a shared, group-wide understanding. Social signaling includes signals of interest, determination, friendliness, boredom, and other "attitudes" toward a social situation. Psychologists speculate that social signaling may have evolved as a way to establish hierarchy and group cohesion because social signaling functions as a subconscious discussion about relationships, resources, risks, and rewards. In many situations the nonlinguistic signals that serve as the basis for this social discussion are just as important as conscious content for determining human behavior. In what follows we discuss challenges in exploratory processing of social signals and tools that allow us to predict human behavior and sometimes exceed even expert human capabilities. These tools potentially permit computer and communications systems to support social and organizational roles instead of viewing the individual as an isolated entity. Example applications include automatically patching people into socially important conversations, instigating conversations among people in order to build a more solid social network, and reinforcing family ties.