Chart4Blind: An Intelligent Interface for Chart Accessibility Conversion

Visual Impairment Technologies (Screen Readers, Tactile Graphics, Braille)Data StorytellingOn-Skin Display & On-Skin InputAutomotive Manufacturers & Vehicle DesignersAssistive Technology Specialists

In a world driven by data visualization, ensuring the inclusive accessibility of charts for Blind and Visually Impaired (BVI) individuals remains a significant challenge. Charts are usually presented as raster graphics without textual and visual metadata needed for an equivalent exploration experience for BVI people. Additionally, converting these charts into accessible formats requires considerable effort from sighted individuals. Digitizing charts with metadata extraction is just one aspect of the issue; transforming it into accessible modalities, such as tactile graphics, presents another difficulty. To address these disparities, we propose Chart4Blind, an intelligent user interface that converts bitmap image representations of line charts into universally accessible formats. Chart4Blind achieves this transformation by generating Scalable Vector Graphics (SVG), Comma-Separated Values (CSV), and alternative text exports, all comply with established accessibility standards. Through interviews and a formal user study, we demonstrate that even inexperienced sighted users can make charts accessible in an average of 4 minutes using Chart4Blind, achieving a System Usability Scale rating of 90%. In comparison to existing approaches, Chart4Blind provides a comprehensive solution, generating end-to-end accessible SVGs suitable for assistive technologies such as embossed prints (papers and laser cut), 2D tactile displays, and screen readers. For additional information, including open-source codes and demos, please visit our project page https://moured.github.io/chart4blind/

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/iui/139196/2024

AdRecommended

Learn AI Coding at CodeNow

At a Glance

Paper Snapshot

fact_check
dataset
Source
IUI
calendar_month
Year
2024
emoji_events
Award
No award tagged
group
Authors
6 authors
sell
Subtopics
Visual Impairment Technologies (Screen Readers, Tactile Graphics, Braille), Data Storytelling, On-Skin Display & On-Skin Input
work
Professions
Automotive Manufacturers & Vehicle Designers, Assistive Technology Specialists
article
Content Status
Abstract only
hub
Related Papers
1 related papers