Office of Naval Research
Grant #N000141010143
Grant #N000141310438

Poster
Affect Recognition in Learning Scenarios: Matching Facial- and BCI-Based Values

ieeecs

Gonzalez-Sanchez J., Chavez-Echeagaray M.E., Lin, L., Baydogan, M., Christopherson R., Gibson D., Atkinson R., and Burleson W. (2013). Affect Recognition in Learning Scenarios: Matching Facial- and BCI-Based Values. Proceedings of the 13th IEEE International Conference on Advanced Learning Technologies (ICALT). Beijing, China. July 2013. In Press. – See more at: http://javiergs.com/?p=2119#sthash.mRkYqiwU.dpuf

 
 
Abstract
The ability of a learning system to infer a student’s affects has become highly relevant to be able to adjust its pedagogical strategies. Several methods have been used to infer affects. One of the most recognized for its reliability is face- based affect recognition. Another emerging one involves the use of brain-computer interfaces. In this paper we compare those strategies and explore if, to a great extent, it is possible to infer the values of one source from the other source. – See more at: http://javiergs.com/?p=2119#sthash.mRkYqiwU.dpuf

 
 
Poster