Background Health care and well-being are 2 main interconnected application areas of
conversational agents (CAs). There is a significant increase in research, development, and …

Critical scholarship has elevated the problem of gender bias in data sets used to train virtual
assistants (VAs). Most work has focused on explicit biases in language, especially against …

The increased popularity of CUIs has motivated HCI work around specific approaches to
research, design, and implementation, while also reflecting on these topics. However …

This paper considers unifying research on conversational user interfaces and recommender
systems. Studies on conversational user interfaces (CUIs) typically examine how …

Over the past decade, voice user interface (VUI) design has been steadily growing, along
with a growing VUI presence in consumer markets. However, there is currently a lack of …

It is often suggested that older adults (those 60 years or older) constitute a viable target
market for voice user interfaces (VUIs) and that VUIs can provide many benefits for older …

As virtual assistants continue to be taken up globally, there is an ever-greater need for these
speech-based systems to communicate naturally in a variety of languages. Crowdsourcing …

Conversation design at least partly aspires to create Voice User Interfaces which emulate
human speech production. And yet, there is no established approach for the development of …

As CUIs become more prevalent in both academic research and the commercial market, it
becomes more essential to design usable and adoptable CUIs. While research has been …

As voice assistants (VAs) become more advanced leveraging Large Language Models
(LLMs) and natural language processing, their potential for accountable behavior expands …