The time required to accomplish a task is the most common index of skill level. A learning curve that expresses the deductive process in relation to time needed is widely used. However, it does not always provide an accurate picture, because it cannot be used for a task that has an irregular form. And it cannot perform evaluations in real time during user operation. Moreover, because it is influenced by an error factor, it lacks precision. Studies have already been undertaken on a basic user adaptive interface. However, to increase its effectiveness and enable it to provide more intelligent support, it is necessary to consider the user's skill level. Thus, a skill level index is provided based on the user's thinking time.To put it more concretely, the authors looked at the time interval between one operation and the next. Using a statistical technique, we evaluated the shll level quantitatively. Experiments with test subjects showed that the proposed index coincides well with the subjectivity of the experimenter and the working time. The features of this index are that it does not depend directly on the content of the task, but on the user's cognitive performance. Therefore, this index can be used for a task with an irregular form and will provide real-time evaluation by repeatedly gathering event data at regular intervals.