Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students

no code implementations • 16 Jan 2019 • Nese Alyuz, Eda Okur, Utku Genc, Sinem Aslan, Cagri Tanriover, Asli Arslan Esme

We propose a multimodal approach for detection of students' behavioral engagement states (i. e., On-Task vs. Off-Task), based on three unobtrusive modalities: Appearance, Context-Performance, and Mouse.

Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data

no code implementations • 15 Jan 2019 • Eda Okur, Nese Alyuz, Sinem Aslan, Utku Genc, Cagri Tanriover, Asli Arslan Esme

To investigate the detection of students' behavioral engagement (On-Task vs. Off-Task), we propose a two-phase approach in this study.