Abstract
Against the background of remarkable progress of computer technologies, large-scale systems have been complicated. While, the human interfaces have been diversified, for instance a CRT (Cathode Ray Tubes) device and a touch panel operating system. On account of the diversification, many human errors occurred caused by the consistency between human recognition and interfaces. In order to execute effective improvement of this situation, there is a demand to establish a human interface evaluation method. The authors have developed two methods to estimate human error rate and evaluate human interface quantitatively. In this paper, they explain their outlines and applications.
