Better Questions, Better Answers: Structured Web Accessibility Evaluations for Non-Experts

Area of Science:

• Computer Science
• Human-Computer Interaction
• Web Development

Background:

• Automated tools are insufficient for comprehensive web accessibility benchmarking.
• Human input is valuable but often difficult to integrate at scale.
• Non-expert evaluation presents challenges in consistency and structure.

Purpose of the Study:

• To present a novel semi-automatic method for non-expert web accessibility evaluation.
• To facilitate large-scale benchmarking by integrating human input with automated tools.
• To provide a structured process for non-expert evaluators.

Main Methods:

• Developed a semi-automatic approach guiding non-experts through structured evaluation.
• Created a template to categorize and describe different types of user input.
• Outlined an empirical validation process for the proposed method.

Main Results:

• The method enables non-experts to provide meaningful input on web accessibility.
• The structured process ensures clearer and more consistent human feedback.
• The approach complements automated tools, improving benchmarking comprehensiveness.

Conclusions:

• The novel method effectively integrates non-expert human input into web accessibility benchmarking.
• This approach enhances the quality and scale of web accessibility evaluations.
• Further empirical validation is planned to confirm the method's efficacy.