A game to crowdsource data for affective computing

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.

Author: 
Chek Tien Tan
Hemanta Sapkota
Daniel Rosser
Yusuf Pisan
Presented At: 
Foundations of Digital Games (FDG)
Year: 
2014
Type: 
Conference Proceedings