Using system and user performance features to improve emotion detection in spoken tutoring dialogs.
Hua AiDiane J. LitmanKatherine Forbes-RileyMihai RotaruJoel R. TetreaultAmruta PurandarePublished in: INTERSPEECH (2006)
Keyphrases
- mixed initiative
- false positives
- automatic detection
- support vector machine classifier
- feature set
- user profiles
- behavioral patterns
- end users
- feature vectors
- detection algorithm
- detection method
- collaborative filtering
- intelligent tutoring systems
- user experience
- feature detection
- emotion classification
- image sequences
- human users
- false alarms
- face detection
- low level
- feature space