Orbit: A real-world few-shot dataset for teachable object recognition
Object recognition has made great advances in the last decade, but predominately still relies
on many high-quality training examples per object category. In contrast, learning new …
on many high-quality training examples per object category. In contrast, learning new …
Mymove: Facilitating older adults to collect in-situ activity labels on a smartwatch with speech
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 trackers for older …
lead to solutions that are not well-suited for older adults. To build activity trackers for older …
Hands holding clues for object recognition in teachable machines
Camera manipulation confounds the use of object recognition applications by blind people.
This is exacerbated when photos from this population are also used to train models, as with …
This is exacerbated when photos from this population are also used to train models, as with …
Exploring machine teaching with children
U Dwivedi, J Gandhi, R Parikh… - … IEEE Symposium on …, 2021 - ieeexplore.ieee.org
Iteratively building and testing machine learning models can help children develop
creativity, flexibility, and comfort with machine learning and artificial intelligence. We explore …
creativity, flexibility, and comfort with machine learning and artificial intelligence. We explore …
Disability-first dataset creation: lessons from constructing a dataset for teachable object recognition with blind and low vision data collectors
Artificial Intelligence (AI) for accessibility is a rapidly growing area, requiring datasets that
are inclusive of the disabled users that assistive technology aims to serve. We offer insights …
are inclusive of the disabled users that assistive technology aims to serve. We offer insights …
Development of species recognition models using Google teachable machine on shorebirds and waterbirds
Species identification is an essential ability in every conservation initiative. An efficient and
robust computer vision method was attested with an available online tool with Google's …
robust computer vision method was attested with an available online tool with Google's …
Data representativeness in accessibility datasets: A meta-analysis
As data-driven systems are increasingly deployed at scale, ethical concerns have arisen
around unfair and discriminatory outcomes for historically marginalized groups that are …
around unfair and discriminatory outcomes for historically marginalized groups that are …
Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
C Morrison, M Grayson, RF Marques… - Proceedings of the 25th …, 2023 - dl.acm.org
The opportunity for artificial intelligence, or AI, to enable accessibility is rapidly growing, but
widely impactful applications can be challenging to build given the diversity of user need …
widely impactful applications can be challenging to build given the diversity of user need …
Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind People
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 …
datasets sourced from this community in the development lifecycle. However, there are …
Crowdsourcing the perception of machine teaching
Teachable interfaces can empower end-users to attune machine learning systems to their
idiosyncratic characteristics and environment by explicitly providing pertinent training …
idiosyncratic characteristics and environment by explicitly providing pertinent training …