Personalized adaptive strategies in human-PC learning game

This paper describes the effect of introducing personalized adaptive strategies into a human-PC interactive learning game. In this game, a computer can execute adaptive strategies according to a user´s performance level. Through simulations with subjects, we verified that we could control the user´s score by changing the computer´s ability. It means that we can identify a user´s ability by referring to the computer´s level, because the computer adapts its ability so that we there should be small deference between the user´s ability and computer´s one.