一种用于个性化睡眠支持的智能体即时自适应干预系统：基于N of 1数据的概念验证研究
An Agentic Just-in-Time Adaptive Intervention System for Personalized Sleep Support: Proof-of-Concept Study with N of 1 Data
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中文总结 AI 辅助
本研究提出一种基于AI智能体的睡眠即时自适应干预系统，通过审查个人行为数据并动态调整提醒，实现个性化睡眠支持，初步验证了技术可行性。
中文摘要 AI 辅助
背景：即时自适应干预（JITAIs）可以利用行为数据来根据不断变化的情境调整支持，但许多此类干预依赖于预定义规则和手动配置。目的：我们开发了一个概念验证的睡眠JITAI，使用AI智能体来审查个人数据、评估提醒、调整干预措施，并记录决策以供人工审查。方法：该智能体在Home Assistant中以可配置的时间表运行，遵循一个可复用的技能文件，审查30天的睡眠和行为数据，包括身体活动、智能手机使用和就寝习惯，以识别模式并创建或更新自动提醒。结果：初步运行证明了技术可行性，成功完成了数据审查和干预决策，同时将提醒限制为每天三次并保存了决策记录。结论：智能体AI可能实现灵活、自适应的睡眠JITAIs。该架构支持未来与固定或基于规则的干预进行比较，需要人工监督，并可扩展到其他健康行为。
英文摘要
Background: Just-in-time adaptive interventions (JITAIs) can use behavioral data to adapt support to changing contexts, but many rely on predefined rules and manual configuration. Objective: We developed a proof-of-concept sleep JITAI using an AI agent to review personal data, evaluate reminders, adapt interventions, and record decisions for human review. Methods: Running in Home Assistant on a configurable schedule, the agent follows a reusable skill file to review 30 days of sleep and behavioral data, including physical activity, smartphone use, and bedtime routines, to identify patterns and create or update automated reminders. Results: Initial runs demonstrated technical feasibility, successfully completing data review and intervention decisions while limiting reminders to three per day and saving decision records. Conclusions: Agentic AI may enable flexible, adaptive sleep JITAIs. The architecture supports future comparison with fixed or rulebased interventions, requires human oversight, and could extend to other health behaviors.
