Personalized robotic service using N-gram affective Event model

Abstract

N-gram affective Event model which consists of 5W1H event episode ontologies and affection ontologies is suggested for personalized robotic service. Nowadays, personalization technology is increasingly becoming an essential component in education. Here, robotic service can be another field to meet personal need. The case study shows that even though two students missed same question, robots suggests different reviews according to the his own personal tendency.