Dialogue Based Explanation

Dialogue-based explanation focuses on improving how humans and machines communicate complex information through interactive conversations, aiming to enhance understanding and knowledge sharing. Current research emphasizes analyzing the dynamics of these conversations, including the strategies employed by explainers and explainees, and leveraging large language models (LLMs) to generate more effective and engaging explanations. This field is significant because it addresses the limitations of one-off explanations, paving the way for more intuitive and helpful interactions with AI systems and improved human-computer collaboration in various domains.