Machine Understanding of Human Behavior

Maja Pantic, Alex Pentland, Antinus Nijholt, Thomas Huang

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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.
    Original languageUndefined
    Title of host publicationProceedings AI for Human Computing (AI4HC'07), workshop at IJCAI 2007
    PublisherIJCAI
    Pages13-24
    Number of pages12
    ISBN (Print)not assigned
    Publication statusPublished - 6 Jan 2007

    Publication series

    Name
    PublisherUniversity of Twente, Centre for Telematics and Information Technology (CTIT)
    Number06472

    Keywords

    • EWI-10265
    • EC Grant Agreement nr.: FP6/506811
    • IR-64116
    • METIS-241675
    • HMI-MI: MULTIMODAL INTERACTIONS

    Cite this

    Pantic, M., Pentland, A., Nijholt, A., & Huang, T. (2007). Machine Understanding of Human Behavior. In Proceedings AI for Human Computing (AI4HC'07), workshop at IJCAI 2007 (pp. 13-24). IJCAI.