Machine analysis and recognition of social contexts

Authors:
Maria O'Connor
Affiliations:
University of Notre Dame, Notre Dame, IN, USA
Venue:
Proceedings of the 14th ACM international conference on Multimodal interaction
Year:
2012

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Abstract

As computers move into the social spaces traditionally reserved for humans via mobile and ubiquitous computing, they must develop into socially intelligent machines. Social context information will allow current content-based approaches in the fields of social signal processing and affective computing to be placed in the appropriate setting. Analysis of multimodal data for social context recognition and the application of this information to other problems in the field of social signal processing is the research area discussed here. This paper explains the motivation and background for this research, provide details on some preliminary work, and outlines future plans. It concludes with some expected contributions to the field of social signal processing.