Machine Understanding of Human Behavior


Pantic, Maja and Pentland, Alex and Nijholt, Anton and Huang, Thomas (2007) Machine Understanding of Human Behavior. In: Workshop on AI for Human Computing, AI4HC 2007, 6 January 2007, Hyderabad, India (pp. pp. 13-24).

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Abstract: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.
Item Type:Conference or Workshop Item
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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