The Oxford Handbook of Affective Computing

By Rafael A. Calvo, S. D’Mello, Jonathan Gratch, Arvid Kappas. 2014

388 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/b49e195843aa588e9deb9138e5d7d4a5c377e795

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Timo Bolkart
2. Radek Daněček
3. Michael J. Black

In Experimental and Cognitive Psychology

1. Timo Bolkart
2. Radek Daněček
3. Michael J. Black

Citations in the corpus

• EMOCA: Emotion Driven Monocular Face Capture and Animation (2022, background): “Emotion analysis from images: Emotion analysis is a long-standing problem in computer vision and related fields (see [3, 11] for comprehensive surveys).”
• Defining and Measuring Engagement and Learning in Science: Conceptual, Theoretical, Methodological, and Analytical Issues (2015, neutral): “…data mining and machine learning (Baker & Siemens, 2014), educational statistics (J. A. Greene & Azevedo, 2009; Shute, in press), and affective and motivational science (Calvo et al., 2014; Gross, 2013; Pekrun, Goetz, Frenzel, Petra, & Perry, 2011; Scherer, 2013; Schunk, Meece, & Pintrich, 2013).”