Setting of document importance based on analysis of user's usual working

We studied a system that allows users to browse multiple documents on a tabletop display. However, in such situations, important documents may be buried, just as they do in the real world. To solve this problem, we investigated which documents were the most important for users by observing and analyzing their usual working patterns. As a result of this, we found that writing and the position, frequency of use, and the date of documents are related to importance. In particular, we focused on writing and position. Then, based on these two parameters, we developed a system that sets an importance level to each document.