Measuring instant emotions during a self-assessment test

Abstract

Emotions are very important during learning and self-assessment procedures. Measuring emotions is a very demanding task. Several tools have been developed and used for this purpose. In this paper we evaluate the efficiency of the FaceReader during a self - assessment test. We compared instant measurements of the FaceReader with the researchers' estimations regarding students' emotions. The observations took place in a properly designed room in real time. Statistical analysis showed that there are some differences between FaceReader's and researchers' estimations regarding Disgusted and Angry emotions. Generally, results showed that FaceReader is capable of measuring emotions with an efficacy of over 87% during a self-assessment test, and that it could be successfully integrated into a computer-aided learning system for the purpose of affect recognition. Moreover, this study provides useful results for the emotional states of students during self-assessment tests and learning procedures.