为高质量的Alt文本创作设计工具

Kelly Avery Mack, Edward Cutrell, Bongshin Lee, M. Morris
{"title":"为高质量的Alt文本创作设计工具","authors":"Kelly Avery Mack, Edward Cutrell, Bongshin Lee, M. Morris","doi":"10.1145/3441852.3471207","DOIUrl":null,"url":null,"abstract":"Alternative (alt) text provides access to descriptions of digital images for people who use screen readers. While prior work studied screen reader users’ (SRUs’) preferences about alt text and automatic alt text (i.e., alt text generated by artificial intelligence), little work examined the alt text author’s experience composing or editing these descriptions. We built two types of prototype interfaces for two tasks: authoring alt text and providing feedback on automatic alt text. Through combined interview-usability testing sessions with alt text authors and interviews with SRUs, we tested the effectiveness of our prototypes in the context of Microsoft PowerPoint. Our results suggest that authoring interfaces that support authors in choosing what to include in their descriptions result in higher quality alt text. The feedback interfaces highlighted considerable differences in the perceptions of authors and SRUs regarding “high-quality” alt text. Finally, authors crafted significantly lower quality alt text when starting from the automatic alt text compared to starting from a blank box. We discuss the implications of these results on applications that support alt text.","PeriodicalId":107277,"journal":{"name":"Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Designing Tools for High-Quality Alt Text Authoring\",\"authors\":\"Kelly Avery Mack, Edward Cutrell, Bongshin Lee, M. Morris\",\"doi\":\"10.1145/3441852.3471207\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Alternative (alt) text provides access to descriptions of digital images for people who use screen readers. While prior work studied screen reader users’ (SRUs’) preferences about alt text and automatic alt text (i.e., alt text generated by artificial intelligence), little work examined the alt text author’s experience composing or editing these descriptions. We built two types of prototype interfaces for two tasks: authoring alt text and providing feedback on automatic alt text. Through combined interview-usability testing sessions with alt text authors and interviews with SRUs, we tested the effectiveness of our prototypes in the context of Microsoft PowerPoint. Our results suggest that authoring interfaces that support authors in choosing what to include in their descriptions result in higher quality alt text. The feedback interfaces highlighted considerable differences in the perceptions of authors and SRUs regarding “high-quality” alt text. Finally, authors crafted significantly lower quality alt text when starting from the automatic alt text compared to starting from a blank box. We discuss the implications of these results on applications that support alt text.\",\"PeriodicalId\":107277,\"journal\":{\"name\":\"Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3441852.3471207\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3441852.3471207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

摘要

替代(alt)文本为使用屏幕阅读器的人提供了访问数字图像描述的途径。虽然之前的工作研究了屏幕阅读器用户(sru)对alt文本和自动alt文本(即由人工智能生成的alt文本)的偏好,但很少有工作检查alt文本作者编写或编辑这些描述的经验。我们为两个任务构建了两种类型的原型界面:创作alt文本和提供自动alt文本的反馈。通过与所有文本作者和sru的访谈,我们在Microsoft PowerPoint的背景下测试了原型的有效性。我们的研究结果表明,支持作者选择在其描述中包含的内容的创作界面可以产生更高质量的alt文本。反馈界面突出了作者和sru对“高质量”文本的看法上的巨大差异。最后,与从空白框开始相比,从自动alt文本开始时,作者制作的alt文本质量明显较低。我们讨论了这些结果对支持全文本的应用程序的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Designing Tools for High-Quality Alt Text Authoring
Alternative (alt) text provides access to descriptions of digital images for people who use screen readers. While prior work studied screen reader users’ (SRUs’) preferences about alt text and automatic alt text (i.e., alt text generated by artificial intelligence), little work examined the alt text author’s experience composing or editing these descriptions. We built two types of prototype interfaces for two tasks: authoring alt text and providing feedback on automatic alt text. Through combined interview-usability testing sessions with alt text authors and interviews with SRUs, we tested the effectiveness of our prototypes in the context of Microsoft PowerPoint. Our results suggest that authoring interfaces that support authors in choosing what to include in their descriptions result in higher quality alt text. The feedback interfaces highlighted considerable differences in the perceptions of authors and SRUs regarding “high-quality” alt text. Finally, authors crafted significantly lower quality alt text when starting from the automatic alt text compared to starting from a blank box. We discuss the implications of these results on applications that support alt text.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Auditory feedback to compensate audible instructions to support people with visual impairment Going Beyond One-Size-Fits-All Image Descriptions to Satisfy the Information Wants of People Who are Blind or Have Low Vision Towards a Secured and Safe Online Social Media Design Framework for People with Intellectual Disability Rehabilitation through Accessible Mobile Gaming and Wearable Sensors A Preliminary Analysis of Android Educational Game Accessibility
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1