In this article a human centered approach for Information Retrieval IR systems is offered. The focus of this article is on human users of IR systems, who are given the opportunity to offer enhanced relevance feedback. A novel approach is offered to capture the back-propagated feedback of human users during IR sessions. According to this approach the IR system is developed to accept human bidirectional relevance feedback, which is utilized to further enhance the IR process with the aim of improving IR effectiveness.