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"That's in the eye of the beholder": Layers of Interpretation in Image Descriptions for Fictional Representations of People with Disabilities

Authors:

Emory James Edwards,

Kyle Lewis Polster,

Michael Gilbert,

Stacy BranhamAuthors Info & Claims

ASSETS '21: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility

Article No.: 19, Pages 1 - 14

https://doi.org/10.1145/3441852.3471222

Published: 17 October 2021 Publication History

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ASSETS '21: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility

"That's in the eye of the beholder": Layers of Interpretation in Image Descriptions for Fictional Representations of People with Disabilities

Pages 1 - 14

Abstract
Supplementary Material
References

Abstract

Image accessibility is an established research area in Accessible Computing and a key area of digital accessibility for blind and low vision (BLV) people worldwide. Recent work has delved deeper into the question of how image descriptions should properly reflect the complexities of marginalized identity. However, when real subjects are not available to consult on their preferred identity terminology, as is the case with fictional representations of disability, the issue arises again of how to create accurate and sensitive image descriptions. We worked with 25 participants to assess and iteratively co-design image descriptions for nine fictional representations of people with disabilities. Through nine focus groups and nineteen interviews, we discovered five key themes which we present here along with an analysis of the layers of interpretation at work in the production and consumption of image descriptions for fictional representations.

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Yin ASogani ROewel BPhan KPark JYeo MYazzolino LArcos KAbdolrahmani ABlank EGilbert MBranham S(2024)“Malicious” Pictorials: How Alt Text Matters to Screen Reader Users' Experience of Image-Dense MediaProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660747(1262-1274)Online publication date: 1-Jul-2024
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Index Terms

"That's in the eye of the beholder": Layers of Interpretation in Image Descriptions for Fictional Representations of People with Disabilities
1. Human-centered computing
2. Social and professional topics
  1. User characteristics

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

ASSETS '21: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility

October 2021

730 pages

ISBN:9781450383066

DOI:10.1145/3441852

Editors:
Jonathan Lazar
University of Maryland, USA
,
Jinjuan Heidi Feng
Towson University, USA
,
Faustina Hwang
Towson University, USA

Copyright © 2021 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 17 October 2021

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ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility

October 18 - 22, 2021

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ASSETS '21 Paper Acceptance Rate 36 of 134 submissions, 27%;

Overall Acceptance Rate 436 of 1,556 submissions, 28%

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Yin ASogani ROewel BPhan KPark JYeo MYazzolino LArcos KAbdolrahmani ABlank EGilbert MBranham S(2024)“Malicious” Pictorials: How Alt Text Matters to Screen Reader Users' Experience of Image-Dense MediaProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660747(1262-1274)Online publication date: 1-Jul-2024
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Griggio CGorman BTigwell G(2024)Party Face Congratulations! Exploring Design Ideas to Help Sighted Users with Emoji Accessibility when Messaging with Screen Reader UsersProceedings of the ACM on Human-Computer Interaction10.1145/36410148:CSCW1(1-31)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641014
Das MFiannaca AMorris MKane SBennett C(2024)From Provenance to Aberrations: Image Creator and Screen Reader User Perspectives on Alt Text for AI-Generated ImagesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642325(1-21)Online publication date: 11-May-2024
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Edwards EGilbert MBlank EBranham S(2023)How the Alt Text Gets Made: What Roles and Processes of Alt Text Creation Can Teach Us About Inclusive ImageryACM Transactions on Accessible Computing10.1145/358746916:2(1-28)Online publication date: 13-Jul-2023
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