Multimodal collaborative workgroup dataset and challenges

Echeverria, V; Falcones, G; Castells, J; Granda, R; Chiluiza, K

Multimodal collaborative workgroup dataset and challenges

Echeverria, V

Falcones, G Castells, J Granda, R Chiluiza, K

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Publication Type:: Conference Proceeding
Citation:: CEUR Workshop Proceedings, 2017, 1828 pp. 94 - 98
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Echeverria, V https://orcid.org/0000-0002-2022-9588	en_US
dc.contributor.author	Falcones, G	en_US
dc.contributor.author	Castells, J	en_US
dc.contributor.author	Granda, R	en_US
dc.contributor.author	Chiluiza, K	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	CEUR Workshop Proceedings, 2017, 1828 pp. 94 - 98	en_US
dc.identifier.issn	1613-0073	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127596
dc.description.abstract	© 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.	en_US
dc.relation.ispartof	CEUR Workshop Proceedings	en_US
dc.title	Multimodal collaborative workgroup dataset and challenges	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1828	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	1828	en_US

Abstract:

© 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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/127596