Recent advances in multi-agentic systems (e.g. AutoGen, OpenAI Swarm) allow users to interact with a group of specialised AI agents rather than a single general-purpose agent. Despite the promise of this new paradigm, the HCI community has yet to fully examine the opportunities, risks, and user-centred challenges it introduces. We contribute to research on multi-agentic systems by exploring their architectures and key features through a human-centred lens. While literature and use cases remain limited, we build on existing tools and frameworks available to developers to identify a set of overarching challenges, e.g. orchestration and conflict resolution, that can guide future research in HCI. We illustrate these challenges through examples, offer potential design considerations, and provide research opportunities to spark interdisciplinary conversation. Our work lays the groundwork for future exploration and offers a research agenda focused on user-centred design in multi-agentic systems.

翻译：近年来，多智能体系统（如AutoGen、OpenAI Swarm）的进展使得用户能够与一组专业化的AI智能体交互，而非单一的通用智能体。尽管这一新范式前景广阔，人机交互学界尚未充分审视其带来的机遇、风险及以用户为中心的挑战。本文通过以人为本的视角探究多智能体系统的架构与关键特性，为相关研究作出贡献。尽管现有文献与应用案例仍显不足，我们基于开发者可用的工具与框架，识别出一系列核心挑战（例如编排与冲突解决机制），以指导未来人机交互领域的研究。我们通过实例阐释这些挑战，提出潜在的设计考量，并提供激发跨学科对话的研究机遇。本研究为未来探索奠定基础，并提出了聚焦于多智能体系统中以用户为中心设计的研究议程。