From Graphs to Words: A Computer-Assisted Framework for the Production of Accessible Text Descriptions

TL;DR

This paper introduces a computer-assisted framework that helps media creators convert visual data visualizations into accessible textual descriptions, improving inclusivity for users with visual impairments.

Contribution

It presents a novel framework that enables automatic generation of descriptive narratives from graphs, enhancing accessibility and understanding of visual data.

Findings

Improves comprehension of data visualizations for screen reader users.

Fosters increased awareness of accessibility in digital content creation.

Broadens interpretative perspectives of visual data.

Abstract

In the digital landscape, the ubiquity of data visualizations in media underscores the necessity for accessibility to ensure inclusivity for all users, including those with visual impairments. Current visual content often fails to cater to the needs of screen reader users due to the absence of comprehensive textual descriptions. To address this gap, we propose in this paper a framework designed to empower media content creators to transform charts into descriptive narratives. This tool not only facilitates the understanding of complex visual data through text but also fosters a broader awareness of accessibility in digital content creation. Through the application of this framework, users can interpret and convey the insights of data visualizations more effectively, accommodating a diverse audience. Our evaluations reveal that this tool not only enhances the comprehension of data visualizations but also promotes new perspectives on the represented data, thereby broadening the interpretative possibilities for all users.