Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion.
Nathan L. HendersonJonathan P. RoweLuc PaquetteRyan S. BakerJames C. LesterPublished in: AIED (1) (2020)
Keyphrases
- data fusion
- affect detection
- game based learning
- open ended
- learning outcomes
- mental states
- physiological data
- text input
- information fusion
- educational games
- multi sensor
- learning environment
- game design
- hong kong
- virtual world
- digital game based learning
- learning processes
- multi sensor data fusion
- video games
- game playing
- digital games
- affective states
- technology enhanced learning
- learning experience
- game play
- mobile learning
- serious games
- social context
- learning process
- natural environment
- artificial intelligence
- physiological signals
- computer assisted