从图表到文字:一个用于生成无障碍文本描述的计算机辅助框架
From Graphs to Words: A Computer-Assisted Framework for the Production of Accessible Text Descriptions
AI总结:
本文提出了一个计算机辅助框架,旨在帮助媒体内容创作者将数据可视化图表转化为无障碍的描述性文本叙述,以解决视觉障碍用户获取图表信息困难的问题,评估表明该工具不仅提升了数据理解,还拓宽了解释视角。
摘要:
在数字化环境中,媒体中数据可视化的普及凸显了无障碍访问的必要性,以确保所有用户(包括视觉障碍者)的包容性。由于缺乏全面的文本描述,当前的视觉内容往往无法满足屏幕阅读器用户的需求。为了填补这一空白,我们在本文中提出了一个框架,旨在赋能媒体内容创作者将图表转化为描述性叙述。该工具不仅通过文本促进了对复杂视觉数据的理解,还培养了数字内容创作中更广泛的无障碍意识。通过应用这一框架,用户能够更有效地解释和传达数据可视化的见解,从而适应多样化的受众。我们的评估表明,该工具不仅增强了对数据可视化的理解,还促进了对所呈现数据的新视角,从而为所有用户拓宽了解释的可能性。
英文摘要:
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.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。