Seshat: Contents Search Based on the Real World Objects of a Work

Abstract

This paper proposes a support system for the user who did a work referring to contents and must do the work again. To increase flexibility, we realize a search by the real world objects. The problem to bind objects and contents for the search is to estimate ease to remember objects with the contents and the work. We notice the fact that important objects of a work are usually near the user, and propose Seshat, a weighting system for binding objects and contents. Evaluation results show the objects users had remembered were bound to the important contents of the work.