87 citations · 314 across the 19 of their papers we have counts for
21 papers
Characterizing the Performance Gap in Human Activity Recognition for Older Adults
Hossein Khayami, Sungjin Hwang, Eshed Ohn-Bar +4
Human activity recognition (HAR) from wrist-worn accelerometers is increasingly used for health and behavioral tracking. Yet, most wearable HAR models are developed and evaluated o…
Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users
Farnaz Zamiri Zeraati, Yang Trista Cao, Yuehan Qiao +2
Prompting and steering techniques are well established in general-purpose generative AI, yet assistive visual question answering (VQA) tools for blind users still follow rigid inte…
Beyond Omakase: Designing Shared Control for Navigation Robots with Blind People
Rie Kamikubo, Seita Kayukawa, Yuka Kaniwa +4
Autonomous navigation robots can increase the independence of blind people but often limit user control, following what is called in Japanese an "omakase" approach where decisions…
Text to Blind Motion
Hee Jae Kim, Kathakoli Sengupta, Masaki Kuribayashi +2
People who are blind perceive the world differently than those who are sighted, which can result in distinct motion characteristics. For instance, when crossing at an intersection,…
Understanding How Blind Users Handle Object Recognition Errors: Strategies and Challenges
Jonggi Hong, Hernisa Kacorri
Object recognition technologies hold the potential to support blind and low-vision people in navigating the world around them. However, the gap between benchmark performances and p…
AccessShare: Co-designing Data Access and Sharing with Blind People
Rie Kamikubo, Farnaz Zamiri Zeraati, Kyungjun Lee +1
Blind people are often called to contribute image data to datasets for AI innovation with the hope for future accessibility and inclusion. Yet, the visual inspection of the contrib…
"We are at the mercy of others' opinion": Supporting Blind People in Recreational Window Shopping with AI-infused Technology
Rie Kamikubo, Hernisa Kacorri, Chieko Asakawa
Engaging in recreational activities in public spaces poses challenges for blind people, often involving dependency on sighted help. Window shopping is a key recreational activity t…
Exploring AI Problem Formulation with Children via Teachable Machines
Utkarsh Dwivedi, Salma Elsayed-Ali, Elizabeth Bonsignore +1
Emphasizing problem formulation in AI literacy activities with children is vital, yet we lack empirical studies on their structure and affordances. We propose that participatory de…
Examining the Values Reflected by Children during AI Problem Formulation
Utkarsh Dwivedi, Salma Elsayed-ali, Elizabeth Bonsignore +1
Understanding how children design and what they value in AI interfaces that allow them to explicitly train their models such as teachable machines, could help increase such activit…
Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind People
Rie Kamikubo, Kyungjun Lee, Hernisa Kacorri
To ensure that AI-infused systems work for disabled people, we need to bring accessibility datasets sourced from this community in the development lifecycle. However, there are man…
Blind Users Accessing Their Training Images in Teachable Object Recognizers
Jonggi Hong, Jaina Gandhi, Ernest Essuah Mensah +4
Iteration of training and evaluating a machine learning model is an important process to improve its performance. However, while teachable interfaces enable blind users to train an…
Data Representativeness in Accessibility Datasets: A Meta-Analysis
Rie Kamikubo, Lining Wang, Crystal Marte +2
As data-driven systems are increasingly deployed at scale, ethical concerns have arisen around unfair and discriminatory outcomes for historically marginalized groups that are unde…
MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech
Young-Ho Kim, Diana Chou, Bongshin Lee +5
Current activity tracking technologies are largely trained on younger adults' data, which can lead to solutions that are not well-suited for older adults. To build activity tracker…
From the Lab to People's Home: Lessons from Accessing Blind Participants' Interactions via Smart Glasses in Remote Studies
Kyungjun Lee, Jonggi Hong, Ebrima Jarjue +2
Researchers have adopted remote methods, such as online surveys and video conferencing, to overcome challenges in conducting in-person usability testing, such as participation, use…
Exploring Machine Teaching with Children
Utkarsh Dwivedi, Jaina Gandhi, Raj Parikh +3
Iteratively building and testing machine learning models can help children develop creativity, flexibility, and comfort with machine learning and artificial intelligence. We explor…
Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the Blind
Kyungjun Lee, Daisuke Sato, Saki Asakawa +2
The spatial behavior of passersby can be critical to blind individuals to initiate interactions, preserve personal space, or practice social distancing during a pandemic. Among oth…
Sharing Practices for Datasets Related to Accessibility and Aging
Rie Kamikubo, Utkarsh Dwivedi, Hernisa Kacorri
Datasets sourced from people with disabilities and older adults play an important role in innovation, benchmarking, and mitigating bias for both assistive and inclusive AI-infused…
Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective
Kyungjun Lee, Daisuke Sato, Saki Asakawa +2
Blind people have limited access to information about their surroundings, which is important for ensuring one's safety, managing social interactions, and identifying approaching pe…
Hand-Priming in Object Localization for Assistive Egocentric Vision
Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri
Egocentric vision holds great promises for increasing access to visual information and improving the quality of life for people with visual impairments, with object recognition bei…
Crowdsourcing the Perception of Machine Teaching
Jonggi Hong, Kyungjun Lee, June Xu +1
Teachable interfaces can empower end-users to attune machine learning systems to their idiosyncratic characteristics and environment by explicitly providing pertinent training exam…
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
Danielle Bragg, Oscar Koller, Mary Bellard +9
Developing successful sign language recognition, generation, and translation systems requires expertise in a wide range of fields, including computer vision, computer graphics, nat…