PROBABILISTIC INTENTION CLASSIFICATION FOR HUMAN AUGMENTED COGNITION SYSTEM

摘要

In this paper, we present a probabilistic human implicit intention classification using user's eye gaze data for human augmented cognition system. The Ultimate purpose of this method is to implement a human augmented cognition system which can provide a specific service to address the cognitive limitations of human brain. In order to partially overcome the cognitive limitations, the system should be able to control the flow of information. Therefore, a specific intention classification using a Naieve Bayes classifier can be used as useful tool for searching and retrieving specific information according to the human intention and situation.