3rd Workshop on Modeling Socio-Emotional and Cognitive Processes from Multimodal Data in the Wild
by , , , , ,
Abstract:
Modeling with multimodal data in the wild poses similar challenges in human-computer and human-robot interaction (HCI, HRI). This workshop series thus blends HCI and HRI to jointly address a broad range of current topics in multimodal modeling aimed at designing intelligent systems in the wild. From addressing data scarcity in multimodal user state recognition to emotion prediction from EEG while listening to music, our third workshop in this series aims to further stimulate this important multidisciplinary exchange.
Reference:
3rd Workshop on Modeling Socio-Emotional and Cognitive Processes from Multimodal Data in the Wild (Dennis Küster, Felix Putze, David St-Onge, Pascal E. Fortin, Nerea Urrestilla, Tanja Schultz), Chapter in , Association for Computing Machinery, 2021.
Bibtex Entry:
@inbook{10.1145/3462244.3480978,
author = {K\"{u}ster, Dennis and Putze, Felix and St-Onge, David and Fortin, Pascal E. and Urrestilla, Nerea and Schultz, Tanja},
title = {3rd Workshop on Modeling Socio-Emotional and Cognitive Processes from Multimodal Data in the Wild},
year = {2021},
isbn = {9781450384810},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3462244.3480978},
abstract = { Modeling with multimodal data in the wild poses similar challenges in human-computer and human-robot interaction (HCI, HRI). This workshop series thus blends HCI and HRI to jointly address a broad range of current topics in multimodal modeling aimed at designing intelligent systems in the wild. From addressing data scarcity in multimodal user state recognition to emotion prediction from EEG while listening to music, our third workshop in this series aims to further stimulate this important multidisciplinary exchange.},
booktitle = {Proceedings of the 2021 International Conference on Multimodal Interaction},
pages = {860–861},
numpages = {2}
}