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Designing computer applications for blind users is a challenging task. The design requirements should encompass those feedback obtained from the target users, the domain experts as well as the designers' intuition of the system. Current practice has placed little emphasis on the involvement of domain experts when capturing the design requirements. This paper addresses this problem by highlighting the importance of such involvement. An interview was conducted to elicit a domain expert's view on how blind users used computer, the technology they used and their general requirements on an ideal system. The findings include blind users require an intelligent system that could read "the right thing" at "the right time", provide a description of images on a document, and have shortcut keys for the system.

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Sequential pattern mining is a new branch of data mining science that solves inter-transaction pattern mining problems. A comprehensive performance study has been reported that PrefixSpan, one of its algorithms, outperforms GSP, SPADE, as well as FreeSpan in most cases, and PrefixSpan integrated with pseudoprojection technique is the fastest among those tested algorithms. Nevertheless, Pseudoprojection technique, which requires maintaining and visiting the in-memory sequence database frequently until all patterns are found, consumes a considerable amount of memory and induces the algorithm to undertake redundant and unnecessary checks to this copy of original database into memory when the candidate patterns are examined. In this paper, we propose Separator Database to improve PrefixSpan with pseudoprojection through early removal of uneconomical in-memory sequence database. The experimental results show that Separator Database improves PrefixSpan with pseudoprojection. Future research includes exploring the use of Separator Database in PrefixSpan with pseudoprojection to improve mining constrained sequential patterns.