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Machine Understanding of Human Behavior (2006)
| Content Provider | CiteSeerX |
|---|---|
| Author | Pantic, Maja Pentland, Alex Nijholt, Anton Huang, Thomas |
| 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. |
| File Format | |
| Publisher Date | 2006-01-01 |
| Access Restriction | Open |
| Subject Keyword | Human Behavior Machine Understanding Human Computing Human-like Interactive Function Human User Anticipatory User Interface Front End Next Generation Computing Certain Human Behavior Human Model Everyday Living Space Social Signaling Traditional Keyboard |
| Content Type | Text |
| Resource Type | Article |
