67 citations · 262 across the 15 of their papers we have counts for
17 papers
Supporting Allyship in Virtual Collaboration with Artificial Intelligence: A Scenario-Based Study
Crescentia Jung, Ricardo E. Gonzalez Penuela, Prashita Biswas +2
Recent research has revealed that accessibility in virtual collaboration is not only a technical problem but also depends on allyship: the informal, interpersonal practices through…
Understanding the Use of a Large Language Model-Powered Guide to Make Virtual Reality Accessible for Blind and Low Vision People
Jazmin Collins, Sharon Y Lin, Tianqi Liu +2
As social virtual reality (VR) grows more popular, addressing accessibility for blind and low vision (BLV) users is increasingly critical. Researchers have proposed an AI "sighted…
How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision People
Ricardo E. Gonzalez Penuela, Crescentia Jung, Sharon Y Lin +2
Multimodal large language models (MLLMs) are changing how Blind and Low Vision (BLV) people access visual information. Unlike traditional visual interpretation tools that only prov…
Understanding How Accessibility Practices Impact Teamwork in Mixed-Ability Teams that Collaborate Virtually
Crescentia Jung, Kexin Cheng, Sharon Heung +2
Virtual collaboration has transformed how people in mixed-ability teams, composed of disabled and non-disabled people, work together by offering greater flexibility. In these setti…
"Ignorance is Not Bliss": Designing Personalized Moderation to Address Ableist Hate on Social Media
Sharon Heung, Lucy Jiang, Shiri Azenkot +1
Disabled people on social media often experience ableist hate and microaggressions. Prior work has shown that platform moderation often fails to remove ableist hate leaving disable…
Towards Understanding the Use of MLLM-Enabled Applications for Visual Interpretation by Blind and Low Vision People
Ricardo E. Gonzalez Penuela, Ruiying Hu, Sharon Lin +2
Blind and Low Vision (BLV) people have adopted AI-powered visual interpretation applications to address their daily needs. While these applications have been helpful, prior work ha…
"The Guide Has Your Back": Exploring How Sighted Guides Can Enhance Accessibility in Social Virtual Reality for Blind and Low Vision People
Jazmin Collins, Crescentia Jung, Yeonju Jang +3
As social VR applications grow in popularity, blind and low vision users encounter continued accessibility barriers. Yet social VR, which enables multiple people to engage in the s…
Accessible Nonverbal Cues to Support Conversations in VR for Blind and Low Vision People
Crescentia Jung, Jazmin Collins, Ricardo E. Gonzalez Penuela +3
Social VR has increased in popularity due to its affordances for rich, embodied, and nonverbal communication. However, nonverbal communication remains inaccessible for blind and lo…
An AI Guide to Enhance Accessibility of Social Virtual Reality for Blind People
Jazmin Collins, Kaylah Myranda Nicholson, Yusuf Khadir +2
The rapid growth of virtual reality (VR) has led to increased use of social VR platforms for interaction. However, these platforms lack adequate features to support blind and low v…
"I Try to Represent Myself as I Am": Self-Presentation Preferences of People with Invisible Disabilities through Embodied Social VR Avatars
Ria J. Gualano, Lucy Jiang, Kexin Zhang +3
With the increasing adoption of social virtual reality (VR), it is critical to design inclusive avatars. While researchers have investigated how and why blind and d/Deaf people wis…
"It's Kind of Context Dependent": Understanding Blind and Low Vision People's Video Accessibility Preferences Across Viewing Scenarios
Lucy Jiang, Crescentia Jung, Mahika Phutane +2
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 pr…
Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision People
Ricardo Gonzalez, Jazmin Collins, Shiri Azenkot +1
"Scene description" applications that describe visual content in a photo are useful daily tools for blind and low vision (BLV) people. Researchers have studied their use, but they…
Tactile Materials in Practice: Understanding the Experiences of Teachers of the Visually Impaired
Mahika Phutane, Julie Wright, Brenda Veronica Castro +4
Teachers of the visually impaired (TVIs) regularly present tactile materials (tactile graphics, 3D models, and real objects) to students with vision impairments. Researchers have b…
Understanding the Use of Voice Assistants by Older Adults
Margot Hanley, Shiri Azenkot
Older adults are using voice-based technologies in a variety of different contexts and are uniquely positioned to benefit from smart speakers' handsfree, voice-based interface. In…
Computer Vision and Conflicting Values: Describing People with Automated Alt Text
Margot Hanley, Solon Barocas, Karen Levy +2
Scholars have recently drawn attention to a range of controversial issues posed by the use of computer vision for automatically generating descriptions of people in images. Despite…
Fairness Issues in AI Systems that Augment Sensory Abilities
Leah Findlater, Steven Goodman, Yuhang Zhao +2
Systems that augment sensory abilities are increasingly employing AI and machine learning (ML) approaches, with applications ranging from object recognition and scene description t…
The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments
Yuhang Zhao, Shaomei Wu, Lindsay Reynolds +1
Like sighted people, visually impaired people want to share photographs on social networking services, but find it difficult to identify and select photos from their albums. We aim…