research-article

Understanding Emerging Obfuscation Technologies in Visual Description Services for Blind and Low Vision People

Authors:

Robin N. Brewer,

Sarita SchoenebeckAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue CSCW2

Article No.: 469, Pages 1 - 33

https://doi.org/10.1145/3555570

Published: 11 November 2022 Publication History

Abstract

Blind and low vision people use visual description services (VDS) to gain visual interpretation and build access in a world that privileges sight. Despite their many benefits, VDS have many harmful privacy and security implications. As a result, researchers are suggesting, exploring, and building obfuscation systems that detect and obscure private or sensitive materials. However, as obfuscation depends largely on sight to interpret outcomes, it is unknown whether Blind and low vision people would find such approaches useful. Our work aims to center the perspectives and opinions of Blind and low vision people on the potential of obfuscation to address privacy concerns in VDS. By reporting on interviews with 20 Blind and low vision people who use VDS, our findings reveal that popular research trends in obfuscation fail to capture the needs of Blind and low vision people. While obfuscation might be helpful in gaining more control, tensions around obfuscation misrecognition and confirmation are prominent. We turn to the framework of interdependence to unpack and understand obfuscation in VDS, enabling us to complicate privacy concerns, uncover the labor of Blind and low vision people, and emphasize the importance of safeguards. We provide design directions to move the trajectory of obfuscation research forward.

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Cited By

Khamis MPanskus RFarzand HMumm MMacdonald SMarky K(2024)Perspectives on DeepFakes for Privacy: Comparing Perceptions of Photo Owners and Obfuscated Individuals towards DeepFake Versus Traditional Privacy-Enhancing ObfuscationProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701602(300-312)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701602
Pyle CRoemmich KAndalibi N(2024)U.S. Job-Seekers' Organizational Justice Perceptions of Emotion AI-Enabled InterviewsProceedings of the ACM on Human-Computer Interaction10.1145/36869938:CSCW2(1-42)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686993
Fernandes KAlharbi RSum CKameswaran VSpektor FThuppilikkat APetterson AMarathe MHamidi FChandra PFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)Organizing for More Just and Inclusive Futures: A Community DiscussionCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3687143(689-692)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3687143
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Index Terms

Understanding Emerging Obfuscation Technologies in Visual Description Services for Blind and Low Vision People
1. Human-centered computing
  1. Accessibility
    1. Empirical studies in accessibility
  2. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 6, Issue CSCW2

CSCW

November 2022

8205 pages

EISSN:2573-0142

DOI:10.1145/3571154

Editor:
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Published: 11 November 2022

Published in PACMHCI Volume 6, Issue CSCW2

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Cited By

Khamis MPanskus RFarzand HMumm MMacdonald SMarky K(2024)Perspectives on DeepFakes for Privacy: Comparing Perceptions of Photo Owners and Obfuscated Individuals towards DeepFake Versus Traditional Privacy-Enhancing ObfuscationProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701602(300-312)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701602
Pyle CRoemmich KAndalibi N(2024)U.S. Job-Seekers' Organizational Justice Perceptions of Emotion AI-Enabled InterviewsProceedings of the ACM on Human-Computer Interaction10.1145/36869938:CSCW2(1-42)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686993
Fernandes KAlharbi RSum CKameswaran VSpektor FThuppilikkat APetterson AMarathe MHamidi FChandra PFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)Organizing for More Just and Inclusive Futures: A Community DiscussionCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3687143(689-692)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3687143
Alharbi RLor PHerskovitz JSchoenebeck SBrewer R(2024)Misfitting With AI: How Blind People Verify and Contest AI ErrorsProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675659(1-17)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3675659
Hong JKacorri H(2024)Understanding How Blind Users Handle Object Recognition Errors: Strategies and ChallengesProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675635(1-15)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3675635
Chang RLiu YZhang LGuo A(2024)EditScribe: Non-Visual Image Editing with Natural Language Verification LoopsProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675599(1-19)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3675599
Zhang L(2024)Designing Accessible Content Creation Support with Blind and Low Vision CreatorsACM SIGACCESS Accessibility and Computing10.1145/3654768.3654775(1-1)Online publication date: 26-Mar-2024
https://dl.acm.org/doi/10.1145/3654768.3654775
Zhang LStangl ASharma TTseng YXu IGurari DWang YFindlater L(2024)Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642713(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642713
Gonzalez Penuela RCollins JBennett CAzenkot S(2024)Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision PeopleProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642211(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642211
Reynolds JNagesh CGurari D(2024)Salient Object Detection for Images Taken by People With Vision Impairments2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00833(8507-8516)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00833
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