Voice is a natural mode of expression offered by modern computer-based systems.
Qualitative perspectives on voice-based user experiences (voice UX) offer rich descriptions …

Large language models (LLMs) provide a new way to build chatbots by accepting natural
language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on …

Conventional Voice Assistants (VAs) rely on traditional language models to discern user
intent and respond to their queries, leading to interactions that often lack a broader …

Black older adults from lower socioeconomic environments are often neglected in health
technology interventions. Voice assistants have a potential to make healthcare more …

Chatbot-based symptom checker (CSC) apps have become increasingly popular in
healthcare. These apps engage users in human-like conversations and offer possible …

Modern conversational agents such as Alexa and Google Assistant represent significant
progress in speech recognition, natural language processing, and speech synthesis. But as …

A major problem in task-oriented conversational agents is the lack of support for the repair of
conversational breakdowns. Prior studies have shown that current repair strategies for these …

Large datasets or'big data'corpora are typically the domain of quantitative scholars, who
work with computational tools to derive numerical and descriptive insights. However, recent …

When breakdowns occur during a human-chatbot conversation, the lack of transparency and
the “black-box” nature of task-oriented chatbots can make it difficult for end users to …

Language technologies have a racial bias, committing greater errors for Black users than for
white users. However, little work has evaluated what effect these disparate error rates have …