SoDA让数字身份自主运行，减少信息负担和平台锁定。
SoDA: An Efficient Interaction Paradigm for the Agentic Web
- 用独立存储、计算、交互设计实现用户数据主权
- 跨平台操作节省27%-35%算力，任务执行认知负荷降低72%
- 适合构建去中心化智能体网络的开发者与研究者
随着互联网从移动应用主导的注意力经济转向以智能体互联为特征的代理网络时代，现有交互模式难以应对数据锁定与认知过载的加剧。为此，我们提出面向未来的用户主权交互范式，旨在实现从消磨时间到节约时间的根本转变。核心思路是将记忆与应用逻辑解耦，消除数据锁定的结构基础；通过隐式意图对齐替代显式指令，化解认知过载，转移执行复杂性。该范式由主权数字化身（SoDA）实现，采用存储、计算、交互三者的正交解耦设计，确立‘数据为持久资产，模型为瞬时工具’的架构原则，从根本上打破平台对用户记忆的垄断。为支持零信任环境下的运行，设计基于A2A协议的意图-权限握手机制，采用双因子（敏感度系数与严格度参数）自适应路由，实现主动风险治理。高保真仿真评估显示，该范式在跨平台服务迁移与复杂任务执行中，算力消耗降低约27%-35%；在多模态复杂任务编排中，相较标准RAG架构认知负荷降低72%，相比手动流程降低88%，同时显著提升信息信噪比（SNR）。结果表明，SoDA是构建高效、低摩擦、去中心化代理网络的关键交互基础设施。
原文摘要 · Abstract (English)
As the internet evolves from the mobile App-dominated Attention Economy to the Intent-Interconnection of the Agentic Web era, existing interaction modes fail to address the escalating challenges of data lock-in and cognitive overload. Addressing this, we defines a future-oriented user sovereignty interaction paradigm, aiming to realize a fundamental shift from killing time to saving time. Specifically, we argue that decoupling memory from application logic eliminates the structural basis of data lock-in, while shifting from explicit manual instruction to implicit intent alignment resolves cognitive overload by offloading execution complexity. This paradigm is implemented via the Sovereign Digital Avatar (SoDA), which employs an orthogonal decoupling design of storage, computation, and interaction. This establishes the architectural principle of data as a persistent asset, model as a transient tool, fundamentally breaking the platform monopoly on user memory. To support the operation of this new paradigm in zero-trust environments, we design an Intent-Permission Handshake Mechanism based on A2A protocols, utilizing dual-factor (Sensitivity Coefficient and Strictness Parameter) adaptive routing to achieve active risk governance. Empirical evaluation with a high-fidelity simulation environment indicates that this paradigm reduces token consumption by approximately 27-35\% during cross-platform service migration and complex task execution. Furthermore, in the orchestration of multi-modal complex tasks, it reduces user cognitive load by 72\% compared to standard Retrieval-Augmented Generation (RAG) architectures, by 88\% relative to manual workflows, while significantly boosting the Information Signal-to-Noise Ratio (SNR). These results demonstrate that the SoDA is the essential interaction infrastructure for building an efficient, low-friction, and decentralized Agentic Web.
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