Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing.
Shen YanHsien-Te KaoKristina LermanShrikanth NarayananEmilio FerraraPublished in: ACII (2021)
Keyphrases
- human behavior
- affective computing
- human computer interaction
- affect recognition
- human subjects
- physiological signals
- emotion recognition
- intelligent tutoring systems
- learning technologies
- daily life
- pedagogical agents
- recent progress
- computational models
- smart environments
- artificial intelligence
- machine learning
- learning outcomes
- visual attention
- image sequences
- multimedia