Abstract
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.
Abstract (translated)
每个人都有一个由个人记忆和经历塑造的独特而个性化的生命故事。然而，这些回忆往往是零散的，并且难以组织成连贯的故事线，这正是自传写作所面临的挑战所在。现有的对话式写作助手通常依赖于通用的用户交互模式和预定义的指南，使得这些系统很难捕捉到个人的记忆并随着时间推移构建完整的人物生平。 我们推出了一款名为StorySage的用户驱动软件系统，旨在满足不同用户群体的需求，支持灵活的对话，并提供结构化的自传写作方法。该系统基于由采访者、会话记录员、规划师、章节撰写人和会话协调员组成的多代理框架，能够迭代地收集用户的记忆，更新其个人生平叙述并计划未来的对话。 在实验模拟中，StorySage展示了它能够在多次会话中导航，并且能够跨越多个对话捕捉用户回忆的能力。用户研究（N=28）强调了与基准相比，StorySage如何提升了对话流畅性、叙事完整性及用户体验满意度。 综上所述，StorySage不仅贡献了一种新颖的自传写作架构，而且还为多代理系统如何增强人机创造力合作提供了见解。
URL
https://arxiv.org/abs/2506.14159
