“Dump it, Destroy it, Send it to Data Heaven”: Blind People’s Expectations for Visual Privacy in Visual Assistance Technologies

Stangl, Abigale; Sadjo, Emma; Emami-Naeini, Pardis; Wang, Yang; Gurari, Danna; Findlater, Leah

doi:10.1145/3587281.3587296

Cited by 8 publications

(1 citation statement)

References 40 publications

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“…To effectively train AI models for these varied use cases, it is crucial to create comprehensive datasets that reflect a wide range of scenarios, information display preferences, and output modalities. If these datasets will contain sensitive information pertaining to BLV people -for example, to capture the scenario of watching videos from friends and family -we must also recognize and consider BLV users' visual privacy concerns [46,112,113,137].…”

Section: Applying Generative Ai To Explore the Video Accessibility De...mentioning

confidence: 99%

“It’s Kind of Context Dependent”: Understanding Blind and Low Vision People’s Video Accessibility Preferences Across Viewing Scenarios

Jiang,

Jung,

Phutane

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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While audio description (AD) is the standard approach for making videos accessible to blind and low vision (BLV) people, existing AD guidelines do not consider BLV users' varied preferences across viewing scenarios. These scenarios range from how-to videos on YouTube, where users seek to learn new skills, to historical dramas on Netflix, where a user's goal is entertainment. Additionally, the increase in video watching on mobile devices provides an opportunity to integrate nonverbal output modalities (e.g., audio cues, tactile elements, and visual enhancements). Through a formative survey and 15 semi-structured interviews, we identified BLV people's video accessibility preferences across diverse scenarios. For example, participants valued action and equipment details for howto videos, tactile graphics for learning scenarios, and 3D models for fantastical content. We define a six-dimensional video accessibility design space to guide future innovation and discuss how to move from "one-size-fits-all" paradigms to scenario-specific approaches. CCS CONCEPTS• Human-centered computing → Accessibility.

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Section: Applying Generative Ai To Explore the Video Accessibility De...mentioning

confidence: 99%

“It’s Kind of Context Dependent”: Understanding Blind and Low Vision People’s Video Accessibility Preferences Across Viewing Scenarios

Jiang,

Jung,

Phutane

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

Self Cite

View full text Add to dashboard Cite

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Speaking with My Screen Reader: Using Audio Fictions to Explore Conversational Access to Interfaces

Phutane,

Jung,

Chen

et al. 2023

The 25th International ACM SIGACCESS Conference on Computers and Accessibility

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Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy Management

Zhang,

Stangl,

Sharma

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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“Dump it, Destroy it, Send it to Data Heaven”: Blind People’s Expectations for Visual Privacy in Visual Assistance Technologies

Cited by 8 publications

References 40 publications

“It’s Kind of Context Dependent”: Understanding Blind and Low Vision People’s Video Accessibility Preferences Across Viewing Scenarios

“It’s Kind of Context Dependent”: Understanding Blind and Low Vision People’s Video Accessibility Preferences Across Viewing Scenarios

Speaking with My Screen Reader: Using Audio Fictions to Explore Conversational Access to Interfaces

Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy Management

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