Automatic generation of GUI for smartphone IME by classifying user behavior patterns

Various user´s situation and small screen compared with computer keyboard influence the performance of the IME (Input Method Editor, a program that allows users to enter characters and symbols). According to the hand that a user is using, it has a significant effect on the IME input. In this paper, we propose a method based on decision tree to generate GUI automatically for the IME. We collect sensor data from Android smartphone and key data that user enters with IME. A comparison experiment with different input postures was conducted to show the feasibility of the proposed method.