Affective multimodal human-computer interaction

Maja Pantic, Nicu Sebe, Jeffrey F. Cohn, Thomas Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Social and emotional intelligence are aspects of human intelligence that have been argued to be better predictors than IQ for measuring aspects of success in life, especially in social interactions, learning, and adapting to what is important. When it comes to machines, not all of them will need such skills. Yet to have machines like computers, broadcast systems, and cars, capable of adapting to their users and of anticipating their wishes, endowing them with the ability to recognize user's affective states is necessary. This article discusses the components of human affect, how they might be integrated into computers, and how far are we from realizing affective multimodal human-computer interaction.

Original languageEnglish (US)
Title of host publicationProceedings of the 13th ACM International Conference on Multimedia, MM 2005
Number of pages8
StatePublished - 2005
Externally publishedYes
Event13th ACM International Conference on Multimedia, MM 2005 - Singapore, Singapore
Duration: Nov 6 2005Nov 11 2005

Publication series

NameProceedings of the 13th ACM International Conference on Multimedia, MM 2005


Other13th ACM International Conference on Multimedia, MM 2005


  • Affective computing
  • Multimodal Human-Computer Interaction

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software


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