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One of the main limitations of information filtering §is its inability to specify and support human §factors to satisfy the user. Temperament-based §information filtering model was proposed in our §earlier study as a solution to characterize the §information space by taking human factors, §particularly human temperament, into consideration. §In this study, a prototype system was developed and §demonstrated in two application domains - a document §collection and an art image collection by utilizing §a combination of simulation and user-studies §testing. The results of our experiments indicate §that temperament-based filtering outperforms content-§based filtering in most of the cases. Being §empowered with the knowledge of human temperament, §the management of the conceptual cohesiveness §between the disordered information space presented §by a computing system and the user''s recognition of §the real world may be enhanced, and the goal to §better satisfy the user may be achieved.