Going Beyond One-Size-Fits-All Image Descriptions to Satisfy the Information Wants of People Who are Blind or Have Low Vision

Abigale Stangl, Nitin Verma, K. Fleischmann, M. Morris, D. Gurari
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引用次数: 32

Abstract

Image descriptions are how people who are blind or have low vision (BLV) access information depicted within images. To our knowledge, no prior work has examined how a description for an image should be designed for different scenarios in which users encounter images. Scenarios consist of the information goal the person has when seeking information from or about an image, paired with the source where the image is found. To address this gap, we interviewed 28 people who are BLV to learn how the scenario impacts what image content (information) should go into an image description. We offer our findings as a foundation for considering how to design next-generation image description technologies that can both (A) support a departure from one-size-fits-all image descriptions to context-aware descriptions, and (B) reveal what content to include in minimum viable descriptions for a large range of scenarios.
超越一刀切的图像描述,满足盲人或弱视人士的信息需求
图像描述是盲人或视力低下的人如何获取图像中描述的信息。据我们所知,之前没有研究过如何为用户遇到图像的不同场景设计图像描述。场景由人们在从图像中寻找信息或关于图像的信息时的信息目标组成,并与找到图像的源配对。为了解决这一差距,我们采访了28位BLV,以了解场景如何影响图像内容(信息)应该进入图像描述。我们提供了我们的发现作为考虑如何设计下一代图像描述技术的基础,这些技术可以(a)支持从一刀切的图像描述到上下文感知描述的转变,以及(B)揭示在大范围场景的最小可行描述中包含哪些内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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