A multi-componential analysis of emotions during complex learning with an intelligent multi-agent system

作者：

Highlights：

• Novel approach for measuring and synchronizing emotion data from three modalities.

• Modalities: facial expression, self-report, and electrodermal activity data.

• Examined if modalities identified the same emotions or complementary information.

• High level of agreement between the self-report and facial recognition modalities.

• Low level of agreement between electrodermal activation and others.

摘要

•Novel approach for measuring and synchronizing emotion data from three modalities.•Modalities: facial expression, self-report, and electrodermal activity data.•Examined if modalities identified the same emotions or complementary information.•High level of agreement between the self-report and facial recognition modalities.•Low level of agreement between electrodermal activation and others.

论文关键词：Emotions,Affect,Computer-based learning environments,Intelligent tutoring systems (ITS)

论文评审过程：Available online 4 March 2015.

论文官网地址：https://doi.org/10.1016/j.chb.2015.02.013