Monday, April 25, 2011

Paper Reading #16 - Mixture model based label association techniques for web accessibility

Reference:
Muhammad Asiful Islam, Yevgen Borodin, I. V. Ramakrishnan

UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology


Summary:
For most people, reading a web page is not a problem.  However, what they don't realize is that they intuit information from the whole page to understand it.  Unfortunately, blind users are forced to use a screen reader to aid them.  The screen readers are limited in what they can do though.  If there is an error, like a typo, the reader will not realize it.  This may seem trivial, but when filling out a form for online shopping or bill paying, this can cause problems.  This paper is about a Finite Mixture Model (FMM). This is a system that will take a form element and calculate the most likely label.  In addition, a user study with two blind people is included in the paper.


Discussion:
I think that this is a good way of how technology can be used to aid people.  This would be very helpful to blind people.  Unfortunately, the paper got technical, and was difficult to understand at times.

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