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Learning Emotions EEG-based Recognition and Brain Activity: A Survey Study on BCI for Intelligent Tutoring System

Year: 2018

Type: conference-paper

Abstract: Learners experience emotions in a variety of valence and arousal in learning, which impacts the cognitive process and the success of learning. Learning emotions research has a wide range of benefits from improving learning outcomes and experience in Intelligent Tutoring System (ITS), as well as increasing operation and work productivity. This survey reviews techniques that have been used to measure emotions and theories for modeling emotions. It investigates EEG-based Brain-Computer Interaction (BCI) of general and learning emotion recognition. The induction methods of learning emotions and related issues are also included and discussed. The survey concludes with challenges for further learning emotion research.

Source: Procedia Computer Science

DOI: 10.1016/j.procs.2018.04.056

Authors: Tao Xu, Yun Zhou, Zi Wang, Yixin Peng

Institutions: Northwestern Polytechnical University, Shaanxi Normal University

Language: English

Topic: Emotion and Mood Recognition

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDG: Quality education

Open Access status: diamond

Funders: National Science Foundation, National Natural Science Foundation of China, Natural Science Foundation of Shaanxi Province, State Key Laboratory for Manufacturing Systems Engineering