Using python to create a prototype for web accessibility research
summary
Literature review of 50 papers finds 70% use automated tools and 48% rely on a single tool, so a prototype ensembles multiple accessibility evaluation tools is built in Python. It drives Wave, SortSite, axe, AccessMonitor, runs tools in parallel, aggregates outputs with pandas/matplotlib and produces an HTML report and wxPython GUI. Pilot evaluation uses two UK university sites and four accessibility experts; the ensemble surfaces more issues than single tools but produces false positives and still misses some human-only findings. Results appear in HCI International 2022.
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chapters (12)
- 0:00Start
- 1:25DISABILITIES
- 2:39WEB CONTENT ACCESSIBILITY GUIDELINES WO
- 3:56QUESTIONS
- 6:23RESEARCH FINDINGS
- 8:08AIM FOR PROTOTYPE
- 11:17APPROACH
- 11:51DRIVER FOR EACH TOOL
- 12:14TOOL MANAGER
- 13:53EVALUATING THE PROTOTYPE
- 16:10SUMMARY - FINDING 1
- 17:48POSTER PAPER
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