Workbronze2020

"Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image Descriptions

Abigale J. Stangl · Meredith Ringel Morris · Danna Gurari

139 citations0/0 files storedCHI Conference on Human Factors in Computing Systems

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Digital Accessibility for Disabilities Assistive Technology in Communication and Mobility Image Retrieval and Classification Techniques

Abstract

Access to digital images is important to people who are blind or have low vision (BLV). Many contemporary image description efforts do not take into account this population's nuanced image description preferences. In this paper, we present a qualitative study that provides insight into 28 BLV people's experiences with descriptions of digital images from news websites, social networking sites/platforms, eCommerce websites, employment websites, online dating websites/platforms, productivity applications, and e-publications. Our findings reveal how image description preferences vary based on the source where digital images are encountered and the surrounding context. We provide recommendations for the development of next-generation image description technologies inspired by our empirical analysis.

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References

2010VizWiz 2017Automatic Alt-text 2017Understanding Blind People's Experiences with Computer-Generated Captions of Social Media Images 2016How Blind People Interact with Visual Content on Social Networking Services 2018Rich Representations of Visual Content for Screen Reader Users 2002Maximum accessibility : making your Web site more usable for everyone 2016"With most of it being pictures now, I rarely use it"

Cited by

2021“It’s Complicated”: Negotiating Accessibility and (Mis)Representation in Image Descriptions of Race, Gender, and Disability 2021Communicating Visualizations without Visuals: Investigation of Visualization Alternative Text for People with Visual Impairments 2021Toward Automatic Audio Description Generation for Accessible Videos 2021Understanding and Evaluating Racial Biases in Image Captioning 2021Going Beyond One-Size-Fits-All Image Descriptions to Satisfy the Information Wants of People Who are Blind or Have Low Vision 2022Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis

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