Multimodal collaborative workgroup dataset and challenges

Publication Type:
Conference Proceeding
Citation:
CEUR Workshop Proceedings, 2017, 1828 pp. 94 - 98
Issue Date:
2017-01-01
Metrics:
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© 2017, CEUR-WS. All rights reserved. This work presents a multimodal dataset of 17 workgroup sessions in a collaborative learning activity. Workgroups were conformed of two or three students using a tabletop application in a co-located space. The dataset includes time-synchronized audio, video and tabletop system's logs. Some challenges were identified during the collection of the data, such as audio participation identification, and user traces identification. Future work should explore how to overcome the aforementioned difficulties.
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