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- W4387421631 abstract "This workshop discusses how interactive, multimodal technology, such as virtual agents, can measure and train social-affective interactions. Sensing technology now enables analyzing users’ behaviors and physiological signals. Various signal processing and machine learning methods can be used for prediction tasks. Such social signal processing and tools can be applied to measure and reduce social stress in everyday situations, including public speaking at schools and workplaces." @default.
- W4387421631 created "2023-10-08" @default.
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- W4387421631 date "2023-10-09" @default.
- W4387421631 modified "2023-10-18" @default.
- W4387421631 title "4th Workshop on Social Affective Multimodal Interaction for Health (SAMIH)" @default.
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- W4387421631 doi "https://doi.org/10.1145/3577190.3616878" @default.
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