Identifying Sensitivity of Users to Alert Display Parameters in Graphical User Interfaces

This paper addresses a real time human sensitivity estimation technique on GUI for human adaptive teleoperation system. Although human operators have valuable abilities as global recognition, prediction and planning, they also have possibility to make mistakes. Especially, an overlooking among lots of information, is serious. In order to solve this problem, adequate GUI display planning for emphasising important feedback information is required. We therefore attempt to consider human perceptional characteristics. In other words, robustness for human individuality, skills, fatigue an important alert information window is put with perceptive properties consisted of colors, size, frame line width and so on. At the same time, unimportant optional windows put without disturbing the alert notice. However, the sensitivity depends on operator´s individuality and GUI circumstances, namely, it is variable. Unfortunately, human operators often make careless mistakes that is not essential for the sensitivity. To evaluate the variable and including unessential mistakes sensitivity, in this paper, a real-time human sensitivity identification technique with statistical method is proposed and experimented.