Machine Understanding of Human Behavior
Machine Understanding of Human Behavior
复制标题
机器理解人类行为
DOI：
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复制
发表时间：
2007
期刊：
影响因子：
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通讯作者：
Thomas S. Huang
中科院分区：
文献类型：
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作者：
M. Pantic;A. Pentland;A. Nijholt;Thomas S. Huang
一个被广泛接受的预测是，计算将转移到后台，将自己编织到我们日常生活空间的结构中，并将人类用户投射到前台。如果这一预测成为现实，那么下一代计算，我们称之为人类计算，应该是以人为中心的预期用户界面，基于人类模型为人类构建。它们应该超越传统的键盘和鼠标，包括自然的、类似人类的交互功能，包括理解和模仿某些人类行为，如情感和社会信号。本文讨论了人类行为的一些组成部分，它们如何被集成到计算机中，以及我们离实现人类计算的前端还有多远，也就是说，我们离使计算机能够理解人类行为还有多远。
A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. If this prediction is to come true, then next generation computing, which we will call human computing, should be about anticipatory user interfaces that should be human-centered, built for humans based on human models. They should transcend the traditional keyboard and mouse to include natural, human-like interactive functions including understanding and emulating certain human behaviors such as affective and social signaling. This article discusses a number of components of human behavior, how they might be integrated into computers, and how far we are from realizing the front end of human computing, that is, how far are we from enabling computers to understand human behavior.