Machine Understanding of Human Behavior

Maja Pantic, Alex Pentland, Antinus Nijholt, Thomas Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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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.
Pantic, Maja ; Pentland, Alex ; Nijholt, Antinus ; Huang, Thomas. / Machine Understanding of Human Behavior. Proceedings AI for Human Computing (AI4HC'07), workshop at IJCAI 2007. IJCAI, 2007. pp. 13-24
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title = "Machine Understanding of Human Behavior",
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.",
keywords = "EWI-10265, EC Grant Agreement nr.: FP6/506811, IR-64116, METIS-241675, HMI-MI: MULTIMODAL INTERACTIONS",
author = "Maja Pantic and Alex Pentland and Antinus Nijholt and Thomas Huang",
year = "2007",
month = "1",
day = "6",
language = "Undefined",
isbn = "not assigned",
publisher = "IJCAI",
number = "06472",
pages = "13--24",
booktitle = "Proceedings AI for Human Computing (AI4HC'07), workshop at IJCAI 2007",

}

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. IJCAI, pp. 13-24.

Machine Understanding of Human Behavior. / Pantic, Maja; Pentland, Alex; Nijholt, Antinus; Huang, Thomas.

Proceedings AI for Human Computing (AI4HC'07), workshop at IJCAI 2007. IJCAI, 2007. p. 13-24.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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T1 - Machine Understanding of Human Behavior

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AU - Nijholt, Antinus

AU - Huang, Thomas

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N2 - 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.

AB - 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.

KW - EWI-10265

KW - EC Grant Agreement nr.: FP6/506811

KW - IR-64116

KW - METIS-241675

KW - HMI-MI: MULTIMODAL INTERACTIONS

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BT - Proceedings AI for Human Computing (AI4HC'07), workshop at IJCAI 2007

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