Automated sound recognition tools can be a useful complement to d/Deaf and hard of
hearing (DHH) people's typical communication and environmental awareness strategies …

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 …

While recent advances have enabled mobile sound recognition tools for deaf and hard of
hearing (DHH) people, these tools have only been studied in the lab or through short …

Human-centered AI aims to bridge the gap between machine decision-making and human
understanding. However, even for classification tasks where deep neural networks have …

The paramount measure of success for a machine learning model has historically been
predictive power and accuracy, but even a gold-standard accuracy benchmark fails when it …

While AI technology is becoming increasingly prevalent in our daily lives, the
comprehension of machine learning (ML) among non-experts remains limited. Interactive …

Machine learning (ML) models have significantly impacted various domains in our everyday
lives. While large language models (LLMs) offer intuitive interfaces and versatility, task …

Interactive machine learning (IML) allows users to build their custom machine learning
models without expert knowledge. While most existing IML systems are designed with …

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 …

This paper proposes a system based on a multimodal large language model (MLLM) to
assist non-expert users without prior experience in machine learning (ML) development. The …