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.

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