Web data visualizations exclude screen reader users, hindering equitable information access.

Why It Matters

Designers and researchers must proactively consider the needs of all users, including those with visual impairments, to ensure that information is communicated effectively and equitably. Failing to do so can lead to significant disadvantages for marginalized communities.

Key Finding

The study found that many online data visualizations are inaccessible to screen reader users, creating significant barriers to information access and understanding, especially during critical times like the COVID-19 pandemic. Users have developed workarounds, but a fundamental need exists for more inclusive design practices.

Key Findings

• Widespread accessibility issues were identified across online data visualizations.
• Data accessibility inequities significantly impact the blind and visually impaired (BVI) community.
• Screen reader users employ various strategies to access data-driven information and gain insights.
• There is a pressing need to improve data literacy, build confidence, and enrich methods of access for BVI users.

Research Evidence

Aim: To understand the accessibility of web data visualizations for screen reader users, their experiences, and the challenges they face in accessing and interpreting data.

Method: Mixed-methods study (accessibility audit, online survey, contextual inquiry)

Procedure: An accessibility audit was conducted on 87 web data visualizations. An online survey was administered to 127 screen reader users, followed by remote contextual inquiries with 12 participants to observe their interaction with accessible data representations.

Sample Size: 127 survey respondents, 12 contextual inquiry participants

Context: Web data visualization accessibility, particularly during the COVID-19 pandemic.

Design Principle

Universal Design: Design products and environments to be usable by all people, to the greatest extent possible, without the need for adaptation or specialized design.

How to Apply

When designing or evaluating any data visualization intended for web deployment, conduct an accessibility audit using screen readers and consult with users who rely on them to identify and address barriers.

Limitations

The study focused on specific types of web visualizations and may not represent all data visualization formats. The experiences of participants might be influenced by their familiarity with assistive technologies and specific data domains.

Student Guide (IB Design Technology)

Simple Explanation: Many charts and graphs online can't be understood by people who are blind and use screen readers, making it hard for them to get important information.

Why This Matters: Ensuring your design projects are accessible means they can be used by a wider range of people, making your solutions more impactful and ethical.

Critical Thinking: Beyond screen readers, what other assistive technologies or user needs might be overlooked in the design of web data visualizations?

IA-Ready Paragraph: This research highlights a critical gap in web data visualization accessibility, where a significant number of visualizations are not usable by individuals who rely on screen readers. This exclusion can have profound implications, particularly during periods of high information demand, such as public health crises. Therefore, in the development of [mention your design project], careful consideration has been given to implementing accessible design principles to ensure equitable access to data insights for all potential users, including those using assistive technologies.

Project Tips

• When choosing a design problem, consider if it involves presenting data.
• If your project involves data visualization, research accessible design techniques early on.
• Involve potential users with disabilities in your testing phases.

How to Use in IA

• Reference this study when discussing the importance of accessibility in your design process, especially if your project involves data presentation.
• Use the findings to justify your design choices aimed at improving accessibility for users of assistive technologies.

Examiner Tips

• Demonstrate an understanding of diverse user needs beyond the 'typical' user.
• Show how accessibility considerations have informed your design decisions throughout the project.

Independent Variable: Accessibility features of web data visualizations.

Dependent Variable: User experience, ability to interpret data, insights gained by screen reader users.

Controlled Variables: Type of data visualization, complexity of data, specific screen reader software used, user's prior data literacy.

Strengths

• Employs a robust mixed-methods approach combining objective audits with subjective user experiences.
• Addresses a timely and critical issue of equitable information access during a global event.

Critical Questions

• How can automated tools be improved to better detect accessibility issues in complex data visualizations?
• What are the most effective strategies for conveying nuanced data insights to screen reader users beyond simple descriptions?

Extended Essay Application

• Investigate the accessibility of data visualizations in a specific domain (e.g., scientific research, financial reporting) for users with different disabilities.
• Develop and test a novel accessible data visualization component or framework.

Source

The Accessibility of Data Visualizations on the Web for Screen Reader Users: Practices and Experiences During COVID-19 · ACM Transactions on Accessible Computing · 2022 · 10.1145/3557899