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

fYear

2013

fDate

15-18 July 2013

Firstpage

70

Lastpage

71

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on

Conference_Location

Beijing

Type

conf

DOI

10.1109/ICALT.2013.26

Filename

6601869