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A macroscopic web accessibility evaluation at different processing phases
1. A macroscopic Web accessibility
evaluation at different
processing phases
Nรกdia Fernandes, Luรญs Carriรงo
9th International Cross-Disciplinary Conference on Web Accessibility โ
16/17th April 2012 โ Lyon, France.
2. Motivation
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3. Introduction
โข The Web is being used by all kinds of people;
โข Web sites must be accessible;
โข Modern Web development transcends static HTML;
โข A more real evaluation is necessary.
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4. Previous work
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5. QualWeb evaluator
โข Accessibility evaluation of Web
pages:
โ using WCAG 2.0 ,
โข 18 HTML techniques;
โ at different processing
Before
phases
โข BEFORE and AFTER
Browser processing;
After
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6. QualWeb evaluator: execution
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7. Some improvements...
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8. PhantomJs
โข is a command-line tool that uses WebKit ,
โข works like a WebKit-based Web browser (simulation);
โข can be controlled using Javascript.
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9. Problems Solved!
1. It avoids data injection at the browser level;
2. Evaluated Web page before and after browser processing is
exactly the same;
3. Integration with a crawler.
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10. Research Question
How do the macroscopic properties emerging from Web
accessibility change in respect to the processing phase of
delivery?
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11. Experimental Study
โข We evaluated a set of Web pages from a list provided by the
Portuguese Web Archive (version of 2008);
โข We used the QualWeb evaluator.
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12. Metrics
โข Results of the evaluation are presented in terms of:
โ PASS, WARN, and FAIL (Applicable = PASS + WARN + FAIL)
โข Metrics used:
โ rate conservative =
โ rate optimistic =
โ rate strict =
โข The results are between accessible (100%) and not accessible (0%).
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13. Results
โข 24, 462 Web pages evaluated.
โข Total Number of HTML elements:
โ before processing - 24,918,720
โ after processing - 41,967,072
โ (Ratio โ 1.7).
โข Average Number of HTML elements per page:
โ before processing - 1010
โ after processing โ 1710
โ (Ratio โ1.7).
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14. The differences of an HTML
document between both
Processing Phases were observed.
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15. Results: Average Outcomes
โข Successes
โ before processing - 9 elements
โ after processing - 87 elements
โ (Ratio โ 9.7).
โข Failures
โ before processing - 46 elements
โ after processing โ 176 elements
โ (Ratio โ 3.8).
โข Warnings
โ before processing - 262 elements
โ after processing โ 451 elements
โ (Ratio โ 1.7).
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16. Results: rates Before and After processing
โข Conservative rate:
โ The average quality increases after
processing.
โ Accessibility quality between 60% and 90%
disappeared after processing.
โข Optimistic rate:
โ The average quality decreases after
processing.
โ Some results lower than 20% disappeared
after processing.
โ Decrease of higher accessibility quality,
leading to a lower accessibility average.
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17. Results: rates Before and After processing
โข Strict rate:
โ The average increased after processing.
โ Results higher than 85% disappeared
after processing.
โ Worse pages before processing get higher
scores after processing.
โ Better pages before processing are
ranked lower after processing.
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18. Limitations
1. Techniques coverage
2. Dynamic content
3. Automatic evaluation
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19. Discussion
โข Evaluations before processing clearly is not the best option!
โข We used/percept/interact with the after processed version.
โข Considering the ratesโฆ
โ Web pages possess higher uniformity
โ That can be explained with reusable code
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20. Discussion
โข Impact on Designing Accessible Web Pages
โ Importance of sharing reusable code;
โ High quality reusable code produce better quality pages.
โข Impact on the Perception of Accessibility
โ Each metric identify different perspectives;
โ It is important that evaluations assess what user perceive.
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21. Conclusion
โข We presented a large-scale study of accessibility on the Web.
โข We were able to characterize some accessibility properties of the
Web, pointing some differences between processing phases.
โข The results obtained on the evaluation of pages after browser
processing tend to be more homogeneous than before.
โข Considering that the end-user interacts with the after processed
pages then most studies about Web quality should be redone.
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22. Future Work
1. Enlarge the coverage of WCAG 2.0 implemented tests
2. Evaluate Rich Internet applications
3. Perform a comparative set of studies
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23. nadiaf@di.fc.ul.pt
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