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 …

As conversational agents powered by large language models become more human-like,
users are starting to view them as companions rather than mere assistants. Our study …

Voice assistants (VAs) are increasingly integrated into everyday activities and tasks, raising
novel challenges for users and researchers. One emergent research direction concerns …

Large language models (LLMs) have facilitated significant strides in generating
conversational agents, enabling seamless, contextually relevant dialogues across diverse …

The next major evolutionary stage for voice assistants will be their capability to initiate
interactions by themselves. However, to design proactive interactions, it is crucial to …

Deceptive design patterns (sometimes called “dark patterns”) are user interface design
elements that may trick, deceive, or mislead users into behaviors that often benefit the party …

Politeness is important in human–human interaction when asking people to engage in
sensitive conversations. If politeness manifests similarly in human–chatbot interaction, it may …

Voice assistants capable of answering user queries during various physical tasks have
shown promise in guiding users through complex procedures. However, users often find it …

Whilst imbuing robots and voice assistants with personality has been found to positively
impact user experience, little is known about user perceptions of personality in purely text …

Voice Agents (VAs) are touted as being able to help users in complex tasks such as cooking
and interacting as a conversational partner to provide information and advice while the task …