Persona-as-Configuration：面向农业洪涝灾害的生成式利益相关方报告框架（arXiv:2607.17774v1）
提出面向农业洪涝灾害的生成式利益相关方报告框架，方法新颖，但时效性较差。
论文提出Persona-as-Configuration生成式报告框架，针对农业洪涝灾害场景中需要同时向农民、地方政府、保险公司、应急管理部门等多类利益相关方传递差异化信息的痛点。框架通过将利益相关方的需求特征参数化配置，结合大语言模型生成定制化、结构化的灾害报告文本，提高沟通效率与决策支持效果。
Abstract:Cyber-physical systems built on deterministic edge inference, such as on-vehicle flood detection for agricultural fields, produce structured decision logs that must be interpreted differently by heterogeneous stakeholders. Pairing such systems with large language models (LLMs) to generate stakeholder-specific reports introduces a tension: the generative layer is non-deterministic, while the edge plane must remain replayable and auditable. We propose an architectural pattern resting on two invariants: unidirectional consumption, in which the generative layer is a strict read-only consumer of the deterministic plane and never writes back, and persona-as-configuration, in which stakeholder adaptation is a versioned prompt-template artifact rather than runtime improvisation. We instantiate the pattern as a context-aware dashboard layer over the JSON decision logs of a previously published edge-based standing-water detection system, and analyse how the integration boundary admits standard generative-reliability mitigations as configuration- or middleware-level extension points. A structured expert review rated the pattern favourably across five ISO/IEC 25010-aligned quality dimensions, with strongest agreement on separation of concerns. End-user evaluation with agricultural stakeholders is planned for future work.
Comments:Accepted at CASA 2026 (9th Workshop on Context-Aware, Autonomous and Smart Architectures), co-located with ECSA 2026. 16 pages, 2 figures
Subjects:Software Engineering (cs.SE); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
Cite as:arXiv:2607.17774 [cs.SE]
(or arXiv:2607.17774v1 [cs.SE] for this version)
https://doi.org/10.48550/arXiv.2607.17774
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Oliver Larsen [view email]
[v1] Mon, 20 Jul 2026 10:06:47 UTC (1,331 KB)