Designing Intent Communication for Agent-Human Collaboration
Fuente:
arXiv
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| Autores principales: | , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866915571636895744 |
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| author | Li, Yi Chiossi, Francesco Frijns, Helena Anna Leusmann, Jan Rasch, Julian Welsch, Robin Wintersberger, Philipp Michahelles, Florian Schmidt, Albrecht |
| author_facet | Li, Yi Chiossi, Francesco Frijns, Helena Anna Leusmann, Jan Rasch, Julian Welsch, Robin Wintersberger, Philipp Michahelles, Florian Schmidt, Albrecht |
| contents | As autonomous agents, from self-driving cars to virtual assistants, become increasingly present in everyday life, safe and effective collaboration depends on human understanding of agents' intentions. Current intent communication approaches are often rigid, agent-specific, and narrowly scoped, limiting their adaptability across tasks, environments, and user preferences. A key gap remains: existing models of what to communicate are rarely linked to systematic choices of how and when to communicate, preventing the development of generalizable, multi-modal strategies. In this paper, we introduce a multidimensional design space for intent communication structured along three dimensions: Transparency (what is communicated), Abstraction (when), and Modality (how). We apply this design space to three distinct human-agent collaboration scenarios: (a) bystander interaction, (b) cooperative tasks, and (c) shared control, demonstrating its capacity to generate adaptable, scalable, and cross-domain communication strategies. By bridging the gap between intent content and communication implementation, our design space provides a foundation for designing safer, more intuitive, and more transferable agent-human interactions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_20409 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Designing Intent Communication for Agent-Human Collaboration Li, Yi Chiossi, Francesco Frijns, Helena Anna Leusmann, Jan Rasch, Julian Welsch, Robin Wintersberger, Philipp Michahelles, Florian Schmidt, Albrecht Human-Computer Interaction As autonomous agents, from self-driving cars to virtual assistants, become increasingly present in everyday life, safe and effective collaboration depends on human understanding of agents' intentions. Current intent communication approaches are often rigid, agent-specific, and narrowly scoped, limiting their adaptability across tasks, environments, and user preferences. A key gap remains: existing models of what to communicate are rarely linked to systematic choices of how and when to communicate, preventing the development of generalizable, multi-modal strategies. In this paper, we introduce a multidimensional design space for intent communication structured along three dimensions: Transparency (what is communicated), Abstraction (when), and Modality (how). We apply this design space to three distinct human-agent collaboration scenarios: (a) bystander interaction, (b) cooperative tasks, and (c) shared control, demonstrating its capacity to generate adaptable, scalable, and cross-domain communication strategies. By bridging the gap between intent content and communication implementation, our design space provides a foundation for designing safer, more intuitive, and more transferable agent-human interactions. |
| title | Designing Intent Communication for Agent-Human Collaboration |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2510.20409 |