In the rapidly evolving domain of artificial intelligence, chatbots have emerged as a potent
tool for various applications ranging from e-commerce to healthcare. This research delves …

Inspired by studies on the overwhelming presence of experience-sharing in human-human
conversations, Emora, the social chatbot developed by Emory University, aims to bring such …

Recognizing emotions during social interactions has many potential applications with the
popularization of low-cost mobile sensors, but a challenge remains with the lack of …

Empathy is a fundamental mechanism that characterizes human beings and affects how
they interact with each other. Implementing empathetic intelligence within conversational …

This paper explores enhancing empathy in Large Language Models (LLMs) by integrating
them with physiological data. We propose a physiological computing approach that includes …

Recent advancements in speech recognition technology in combination with increased
access to smart speaker devices are expanding conversational interactions to ever-new …

Mental health conversational agents (aka chatbots) are widely studied for their potential to
offer accessible support to those experiencing mental health challenges. Previous surveys …

Background: Facial expressions, prosody, and speech content constitute channels by which
information is exchanged. Little is known about the simultaneous and differential …

This study focuses on emotion-sensitive spoken dialogue in human-machine speech
interaction. With the advancement of Large Language Models (LLMs), dialogue systems can …

One research branch in Affective Computing focuses on using multimodal
'emotional'expressions (eg facial expressions or non-verbal vocalisations) to automatically …