ComPeer：一种用于主动同伴支持的生成式对话智能体
ComPeer: A Generative Conversational Agent for Proactive Peer Support
中文总结 AI 辅助
本文提出生成式对话智能体ComPeer，利用大语言模型检测对话中的重要事件并主动规划关怀时机与内容，结合同伴支持策略、对话历史和人设，在为期一周的研究中证明其能提升用户参与度和长期同伴支持效果。
中文摘要 AI 辅助
作为同伴支持者的对话智能体（CAs）已被广泛研究，并证明对人们的心理健康有益。然而，以往的同伴支持对话智能体要么由用户发起，要么遵循预定义规则来发起对话，这可能阻碍用户参与并与对话智能体建立关系以获得长期益处。在本文中，我们开发了ComPeer，一种能够主动向用户提供自适应同伴支持的生成式对话智能体。ComPeer利用大语言模型检测并反映对话中的重要事件，使其能够策略性地规划主动关怀的时机和内容。此外，ComPeer将同伴支持策略、对话历史及其人设融入生成的消息中。我们为期一周的受试者间研究（N=24）表明，与基线用户发起的对话智能体相比，ComPeer在随时间提供同伴支持和提升用户参与度方面具有优势。
英文摘要
Conversational Agents (CAs) acting as peer supporters have been widely studied and demonstrated beneficial for people's mental health. However, previous peer support CAs either are user-initiated or follow predefined rules to initiate the conversations, which may discourage users to engage and build relationships with the CAs for long-term benefits. In this paper, we develop ComPeer, a generative CA that can proactively offer adaptive peer support to users. ComPeer leverages large language models to detect and reflect significant events in the dialogue, enabling it to strategically plan the timing and content of proactive care. In addition, ComPeer incorporates peer support strategies, conversation history, and its persona into the generative messages. Our one-week between-subjects study (N=24) demonstrates ComPeer's strength in providing peer support over time and boosting users' engagement compared to a baseline user-initiated CA.
