A game to crowdsource data for affective computing

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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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.
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