Over the last ten years there has been a growing interest around text-based chatbots,
software applications interacting with humans using natural written language. However …

Early conversational agents (CAs) focused on dyadic human-AI interaction between humans
and the CAs, followed by the increasing popularity of polyadic human-AI interaction, in …

Pre-trained large language models (“LLMs”) like GPT-3 can engage in fluent, multi-turn
instruction-taking out-of-the-box, making them attractive materials for designing natural …

Despite impressive performance in many benchmark datasets, AI models can still make
mistakes, especially among out-of-distribution examples. It remains an open question how …

Artificial Intelligence (AI) plays an increasingly important role in improving HCI and user
experience. Yet many challenges persist in designing and innovating valuable human-AI …

What began as a quest for artificial general intelligence branched into several pursuits,
including intelligent assistants developed by tech companies and task-oriented chatbots that …

AI technologies have been incorporated into many end-user applications. However,
expectations of the capabilities of such systems vary among people. Furthermore, bloated …

Artificial intelligence (AI) technology has been increasingly used in the implementation of
advanced Clinical Decision Support Systems (CDSS). Research demonstrated the potential …

With the emergence of conversational artificial intelligence (AI) agents, it is important to
understand the mechanisms that influence users' experiences of these agents. In this paper …

Mobile, wearable and other connected devices allow people to collect and explore large
amounts of data about their own activities, behavior, and well-being. Yet, learning from-, and …