From Boredom to Focus - Enhancing Learning Through Emotion Tracking
OER 14/22 YR - Automated Boredom Detection Using Multimodal Physiological Signals
Project Team
PI: Dr Yuvaraj Rajamanickam, SoLEC, NIE
Co-PI: Dr Jack Fogarty, SoLEC, NIE
Co-PI: Dr David Huang Jun Song, CRPP, NIE
Collaborators:
Mr Samuel Tan, ETD, MOE
Mr Wong Teck Kiong, ETD, MOE
Project Description
Boredom can disrupt learning by impeding focused attention, resulting in lower engagement and motivation to learn. Experiencing a prolonged state of boredom can harm people’s goal-directed behaviour and performance in general or task-specific settings, negatively influencing their learning, living, and well-being. Signals from the brain and body may help us recognize emotions so that we can study their role in learning. The current focus of SoLEC research is to assist teachers in detecting boredom among students, thereby fostering increased levels of engagement within learning environments. University students from NTU and NIE volunteered to participate in the study, and they watched an educational video stimulus to induce boredom while recording brain and body signals using wearable sensors. The researchers found that by combining brain signals and eye movements, they could recognize the boredom in the learning contexts with 85 percent accuracy. This advancement contributes to well-being by enabling educators to identify and address boredom, fostering a more engaging and motivating learning environment. Having tools to detect boredom allows them to adjust their teaching methods in real-time, creating a more dynamic and responsive classroom atmosphere. This research can also inform strategies to improve educational practices and curricula, ensuring that learning experiences are more aligned with students' needs.
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