Human computing and machine understanding of human behavior: a survey

  • Authors:
  • Maja Pantic;Alex Pentland;Anton Nijholt;Thomas S. Huang

  • Affiliations:
  • Computing Dept., Imperial Collge London, London, UK and EEMCS, University of Twente, Enschede, The Netherlands;Media Lab, Massachusetts Institute of Technology;EEMCS, University of Twente, Enschede, The Netherlands;Beckman Institute, University of Illinois at Urbana-Champaign

  • Venue:
  • ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

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 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, humanlike interactive functions including understanding and emulating certain human behaviors such as affecti0ve and social signaling. This article discusses how far are we from enabling computers to understand human behavior.