Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History

Understand

Proactive dialogue systems aim to empower chatbots with the capability of leading conversations towards specific targets, thereby enhancing user engagement and service autonomy.

• Existing systems typically target pre-defined keywords or entities, neglecting user attributes and preferences implicit in dialogue history, hindering the development of long-term user intimacy.
• To address these challenges, we take a radical step towards building a more human-like conversational agent by integrating proactive dialogue systems with long-term memory into a unified framework.
• Specifically, we define a novel task named Memory-aware Proactive Dialogue (MapDia).