On the use of nonverbal speech sounds in human communication
COST 2102'07 Proceedings of the 2007 COST action 2102 international conference on Verbal and nonverbal communication behaviours
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Affective Interaction in Natural Environments
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Affective Interaction in Natural Environments
A companion technology for cognitive technical systems
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
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For next generation human computer interaction (HCI), it is crucial to assess the affective state of a user. However, this respective user state is - even for human annotators - only indirectly inferable using background information and the observation of the interaction's progression as well as the social signals produced by the interlocutors. In this paper, coincidences of directly observable patterns and different user states are examined in order to relate the former to the latter. This evaluation motivates a hierarchical label system, where labels of latent user states are supported by low level observations. The dynamic patterns of occurrences of various social signals may in an integration step infer the latent user's state. Thus, we expect to advance the understanding of the recognition of affective user states as compositions of lower level observations for automatic classifiers in HCI.