A technology using algorithms and machine learning to analyze and interpret human emotions from various inputs like facial expressions, voice tones, and body language.
It processes these cues to identify and categorize emotional states detected.

AI technology has shown potential in increasing learning participation with its perceptual capability by automating the assessment of cognitive and emotional states in VR training, particularly for students with autism spectrum disorder (ASD). For example, Moon, Ke, and Sokolikj (2020) utilized NLP and ML techniques to track learning states and provide tailored learner support in VR-based flexibility training platforms for ASD adolescents. Personalized learning support powered by AI helps keep learners engaged by dynamically promoting their cognitive and emotional states during VR-based training activities.

Moon, Jewoong, Ke, Fengfeng, & Sokolikj, Zlatko (2020). Automatic assessment of cognitive and emotional states in virtual reality-based flexibility training for four adolescents with autism. British Journal of Educational Technology 51(5), 1766-1784. https://doi.org/10.1111/bjet.13005