From Conversation to Orchestration: HCI Challenges and Opportunities in Interactive Multi-Agentic Systems
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866908420891738112 |
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| author | Schömbs, Sarah Zhang, Yan Goncalves, Jorge Johal, Wafa |
| author_facet | Schömbs, Sarah Zhang, Yan Goncalves, Jorge Johal, Wafa |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_20091 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | From Conversation to Orchestration: HCI Challenges and Opportunities in Interactive Multi-Agentic Systems Schömbs, Sarah Zhang, Yan Goncalves, Jorge Johal, Wafa Human-Computer Interaction 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. |
| title | From Conversation to Orchestration: HCI Challenges and Opportunities in Interactive Multi-Agentic Systems |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2506.20091 |