A game to crowdsource data for affective computing

Tan, C; Sapkota, H; Rosser, DJ; Pisan, Y

A game to crowdsource data for affective computing

Tan, C Sapkota, H Rosser, DJ Pisan, Y

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Publisher:: Society for the Advancement of the Study of Digital Games
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 9th International Conference on the Foundations of Digital Games, 2014
Issue Date:: 2014-01

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Field	Value	Language
dc.contributor.author	Tan, C	en_US
dc.contributor.author	Sapkota, H	en_US
dc.contributor.author	Rosser, DJ	en_US
dc.contributor.author	Pisan, Y https://orcid.org/0000-0002-9043-5803	en_US
dc.contributor.editor	Mateas, M	en_US
dc.date	2014-04-03	en_US
dc.date.issued	2014-01	en_US
dc.identifier.citation	Proceedings of the 9th International Conference on the Foundations of Digital Games, 2014	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32766
dc.description.abstract	This game submission describes BeFaced, a tile matching casual tablet game that enables massive crowdsourcing of facial expressions to advance affective computing. BeFaced uses state-of-theart facial expression tracking technology with dynamic difficulty adjustment to keep the player engaged and hence obtain a large and varied face dataset. FDG attendees will experience a novel affective game input interface and also investigate how the game design enables massive crowdsourcing in an extensible manner.	en_US
dc.publisher	Society for the Advancement of the Study of Digital Games	en_US
dc.relation.ispartof	Proceedings of the 9th International Conference on the Foundations of Digital Games	en_US
dc.relation.ispartof	Foundations of Digital Games	en_US
dc.title	A game to crowdsource data for affective computing	en_US
dc.type	Conference Proceeding
utslib.location	New York	en_US
utslib.location.activity	Ft Lauderdale, Florida, USA	en_US
utslib.for	080111 Virtual Reality and Related Simulation	en_US
utslib.for	080602 Computer-Human Interaction	en_US
dc.location.activity	Ft Lauderdale, Florida, USA
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	New York	en_US
pubs.start-date	2014-04-03	en_US

Abstract:

This game submission describes BeFaced, a tile matching casual tablet game that enables massive crowdsourcing of facial expressions to advance affective computing. BeFaced uses state-of-theart facial expression tracking technology with dynamic difficulty adjustment to keep the player engaged and hence obtain a large and varied face dataset. FDG attendees will experience a novel affective game input interface and also investigate how the game design enables massive crowdsourcing in an extensible manner.

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

http://hdl.handle.net/10453/32766