The PIVOT framework enables AI systems to gather specific user information through natural, user-preferred topic conversations rather than direct questioning.

• Focuses on acquiring user data without making conversations feel abrupt or interrogative
• Particularly valuable for support systems, news sharing, and senior care applications
• Establishes technical foundations for more human-like information gathering in AI assistants
• Creates more engaging user experiences while collecting necessary information

This approach represents a significant advancement for support systems that need user information but must maintain conversational naturalness and user engagement.

Proactive User Information Acquisition via Chats on User-Favored Topics