Probabilistic Touchscreen Text Entry Method Incorporating Gaze Point Information

Abstract

We propose a novel probabilistic text entry method that takes into account the influence of the distance between a gaze point and a touch position in order to improve typing efficiency. The proposed method dynamically changes the size of the search space for predicting candidate words based on a model that estimates the magnitude of touch position errors according to the distance between the gaze point and the touch position. This makes it easier for users to type intended words even when they glance at different areas on the screen. The performance of the method was evaluated in terms of input accuracy in total error rate (TER) and of typing speed in words per minute (WPM). The results showed that the proposed text entry method successfully reduced the TER by 19.4% and increased WPM by 12.3% compared to the conventional method.