Title :
Affect Recognition in Learning Scenarios: Matching Facial- and BCI-Based Values
Author :
Gonzalez-Sanchez, Javier ; Chavez-Echeagaray, Maria Elena ; Lijia Lin ; Baydogan, Mustafa ; Christopherson, Robert ; Gibson, Dan ; Atkinson, Robert ; Burleson, Wayne
Author_Institution :
Arizona State Univ., Tempe, AZ, USA
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.
Keywords :
brain-computer interfaces; computer aided instruction; BCI-based values; brain-computer interfaces; face-based affect recognition; facial-based values; learning scenarios; pedagogical strategies; Correlation; Educational institutions; Face recognition; Games; Predictive models; Radio frequency; Reliability; affect recognition; brain computer interfaces; random forest;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on
Conference_Location :
Beijing
DOI :
10.1109/ICALT.2013.26
