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Dr S Harper  Applications accepted all year round  Competition Funded PhD Project (European/UK Students Only)

About the Project

Understanding website conformance to specifications, guidelines, accessibility and usability requirements is currently a complicated - and for the most part unachievable - process. A problem amplified where human interaction is required for evaluation, or when different evaluation engines produced different results. We believe that a combinatorial approach to evaluation may be more effective than those applied by individual tools and engines.

The object of this project is to empirically test this belief by: deciding on the minimum number of pages required to fully test a website; creating a set of algorithms to orchestrate pre-existing accessibility evaluation tools over that website; facilitate interoperability between these heterogeneous engines and - in concert with human evaluation - generate a combinatorial analysis of the guideline conformance of the site providing a single homogeneous / unified evaluation report. Finally, testing this combined approach against standard measures to evaluate the validity of the outcomes.

A student suitable for the PhD should have a background in computer science, human computer interaction, human factors or the like. They should possess creative problem-solving skills and be able to interact with people for human evaluations and experimentation. However, you should also be committed to progressing your career in human factors with specific focus on web ergonomics and accessibility.

Funding Notes

The School has full scholarship opportunities for home and EU students. For international students, the School has fees contribution awards. These awards are awarded on a competitive basis. This funding is available for students starting from September 2011.

Further information on funding can be found here: http://www.cs.manchester.ac.uk/phd/funding/

References

In the first instance email your CV/Resume with a covering letter explaining your suitability for PhD study to weo-project@cs.manchester.ac.uk

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