The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions
By J. Whitehill, Zewelanji N. Serpell, Yi-Ching Lin, Aysha Foster, Javier R. Movellan. IEEE Transactions on Affective Computing, 2014
612 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Science Applications, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/33e20449aa40488c6d4b430a48edf5c4b43afdab
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Stephan Mandt
- Zhiwei Deng
- Yisong Yue
- Greg Mori
- Iain Matthews
- Rajitha Navarathna
- Peter Carr
- Thorsten Joachims
In Computer Science Applications
In Experimental and Cognitive Psychology
Citations in the corpus
- Factorized Variational Autoencoders for Modeling Audience Reactions to Movies (2017, background): “[51] showed that human observers reliably conclude that another person is engaged based on head pose, eyebrow position, and eye and lip motions [51].”
- School Engagement (2021, background): “Since the 1980s, learner engagement has been a key topic in the education literature [8].”