StorySage：由多智能体框架驱动的对话式自传写作
StorySage: Conversational Autobiography Writing Powered by a Multi-Agent Framework
AI总结：
本文提出 StorySage 多智能体自传写作系统，通过角色分工迭代访谈、记录、规划与成文，提升多会话记忆捕捉、叙事完整性及用户满意度。
摘要：
每个人都拥有由自身记忆和经历塑造的独特个人人生故事。然而，这些记忆往往零散分布，难以组织成连贯的叙事，这一挑战界定了自传写作任务。现有对话式写作助手往往依赖通用的用户交互和预定义指南，使这些系统难以捕捉个人记忆并随时间发展出完整传记。我们介绍 StorySage，这是一个由用户驱动的软件系统，旨在满足多样化用户群体的需求，支持灵活对话和结构化的自传写作方法。该系统由包含 Interviewer（访谈者）、Session Scribe（会话记录员）、Planner（规划者）、Section Writer（章节撰写者）和 Session Coordinator（会话协调者）的多智能体框架驱动，能够迭代收集用户记忆、更新其自传并规划未来对话。在实验模拟中，StorySage 展示了其跨多个会话推进、并在多次对话中捕捉用户记忆的能力。用户研究（N=28）凸显，与基线相比，StorySage 保持了更好的对话流畅性、叙事完整性和更高的用户满意度。总之，StorySage 既贡献了一种新颖的自传写作架构，也为多智能体系统如何增强人机创意伙伴关系提供了洞见。
英文摘要：
Every individual carries a unique and personal life story shaped by their memories and experiences. However, these memories are often scattered and difficult to organize into a coherent narrative, a challenge that defines the task of autobiography writing. Existing conversational writing assistants tend to rely on generic user interactions and pre-defined guidelines, making it difficult for these systems to capture personal memories and develop a complete biography over time. We introduce StorySage, a user-driven software system designed to meet the needs of a diverse group of users that supports a flexible conversation and a structured approach to autobiography writing. Powered by a multi-agent framework composed of an Interviewer, Session Scribe, Planner, Section Writer, and Session Coordinator, our system iteratively collects user memories, updates their autobiography, and plans for future conversations. In experimental simulations, StorySage demonstrates its ability to navigate multiple sessions and capture user memories across many conversations. User studies (N=28) highlight how StorySage maintains improved conversational flow, narrative completeness, and higher user satisfaction when compared to a baseline. In summary, StorySage contributes both a novel architecture for autobiography writing and insights into how multi-agent systems can enhance human-AI creative partnerships.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
