activity
20192023
most citedUnderstanding Visual Arts Experiences of Blind People

51 citations · 171 across the 10 of their papers we have counts for

collaborators

11 papers

eess.AS2023

Latent Phrase Matching for Dysarthric Speech

Colin Lea, Dianna Yee, Jaya Narain +4

Many consumer speech recognition systems are not tuned for people with speech disabilities, resulting in poor recognition and user experience, especially for severe speech differen…

cs.HC2023★ 2 cited

From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition

Colin Lea, Zifang Huang, Lauren Tooley +6

Consumer speech recognition systems do not work as well for many people with speech diferences, such as stuttering, relative to the rest of the general population. However, what is…

cs.HC2023★ 51 cited

Understanding Visual Arts Experiences of Blind People

Franklin Mingzhe Li, Lotus Zhang, Maryam Bandukda +4

Visual arts play an important role in cultural life and provide access to social heritage and self-enrichment, but most visual arts are inaccessible to blind people. Researchers ha…

cs.HC2022★ 46 cited

ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users

Dhruv Jain, Khoa Huynh Anh Nguyen, Steven Goodman +7

Recent advances have enabled automatic sound recognition systems for deaf and hard of hearing (DHH) users on mobile devices. However, these tools use pre-trained, generic sound rec…

eess.AS2022★ 1 cited

Nonverbal Sound Detection for Disordered Speech

Colin Lea, Zifang Huang, Dhruv Jain +5

Voice assistants have become an essential tool for people with various disabilities because they enable complex phone- or tablet-based interactions without the need for fine-graine…

cs.HC2021★ 49 cited

Social, Environmental, and Technical: Factors at Play in the Current Use and Future Design of Small-Group Captioning

Emma J. McDonnell, Ping Liu, Steven M. Goodman +3

Real-time captioning is a critical accessibility tool for many d/Deaf and hard of hearing (DHH) people. While the vast majority of captioning work has focused on formal settings an…

cs.DL2021★ 11 cited

A bibliometric analysis of citation diversity in accessibility and HCI research

Lucy Lu Wang, Kelly Mack, Emma McDonnell +3

Accessibility research sits at the junction of several disciplines, drawing influence from HCI, disability studies, psychology, education, and more. To characterize the influences…

cs.HC2021★ 7 cited

What Do We Mean by "Accessibility Research"? A Literature Survey of Accessibility Papers in CHI and ASSETS from 1994 to 2019

Kelly Mack, Emma McDonnell, Dhruv Jain +3

Accessibility research has grown substantially in the past few decades, yet there has been no literature review of the field. To understand current and historical trends, we create…

cs.CL2019★ 3 cited

Interactive Refinement of Cross-Lingual Word Embeddings

Michelle Yuan, Mozhi Zhang, Benjamin Van Durme +2

Cross-lingual word embeddings transfer knowledge between languages: models trained on high-resource languages can predict in low-resource languages. We introduce CLIME, an interact…

cs.CY2019

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…

cs.CL2019★ 1 cited

Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models

Varun Kumar, Alison Smith-Renner, Leah Findlater +2

To address the lack of comparative evaluation of Human-in-the-Loop Topic Modeling (HLTM) systems, we implement and evaluate three contrasting HLTM modeling approaches using simulat…