Spotting Agreement and Disagreement: A Survey of Nonverbal Audiovisual Cues and Tools


Bousmalis, Konstantinos and Mehu, Marc and Pantic, Maja (2009) Spotting Agreement and Disagreement: A Survey of Nonverbal Audiovisual Cues and Tools. In: IEEE International Conference on Affective Computing and Intelligent Interfaces, ACII ’09, 10-12 Sept 2009, Amsterdam, The Netherlands.

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Abstract:While detecting and interpreting temporal patterns of non–verbal behavioral cues in a given context is a natural and often unconscious process for humans, it remains a rather difficult task for computer systems. Nevertheless, it is an important one to achieve if the goal is to realise a naturalistic communication between humans and machines. Machines that are able to sense social attitudes like agreement and disagreement and respond to them in a meaningful way are likely to be welcomed by users due to the more natural, efficient and human–centered interaction they are bound to experience. This paper surveys the nonverbal cues that could be present during agreement and disagreement behavioural displays and lists a number of tools that could be useful in detecting them, as well as a few publicly available databases that could be used to train these tools for analysis of spontaneous, audiovisual instances of agreement and disagreement.
Item Type:Conference or Workshop Item
Copyright:© 2009 IEEE
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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