Conversational Agent
Conversational agents, or chatbots, aim to create AI systems capable of engaging in natural, human-like dialogue to accomplish various tasks. Current research emphasizes improving long-term memory, context understanding, and the ability to handle complex, multi-turn conversations, often employing large language models (LLMs) and retrieval-augmented generation (RAG) techniques. These advancements are driving progress in diverse applications, including customer service, education, and even creative fields like theatre, while also raising important ethical considerations regarding safety, bias, and user interaction.
Papers
October 26, 2023
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems
Lidiya Murakhovs'ka, Philippe Laban, Tian Xie, Caiming Xiong, Chien-Sheng Wu
Comparing Photorealistic and Animated Embodied Conversational Agents in Serious Games: An Empirical Study on User Experience
Danai Korre
October 25, 2023
October 19, 2023
October 18, 2023
October 14, 2023
October 13, 2023
October 12, 2023
October 3, 2023
September 23, 2023
August 31, 2023
August 9, 2023
August 8, 2023
August 4, 2023
August 3, 2023
July 20, 2023
July 19, 2023