用传感器与AI监测老人异常行为，还能对话解释并主动提醒照护者。
Investigating an Intelligent System to Monitor \& Explain Abnormal Activity Patterns of Older Adults
- 通过无线传感器和机器学习识别老人异常活动模式。
- 支持互动对话解释异常行为，实现信息主动共享。
- 适合关注老年人居家安全与智能照护系统的研发者。
尽管老年照护技术潜力巨大，但实际应用仍面临挑战。本文通过焦点小组访谈收集家庭照护者需求，开发高保真原型系统，并联合专业照护人员与老年人开展定性研究，评估其功能体验。该系统利用无线运动传感器与机器学习模型监测老年人异常活动模式，支持交互式对话解释异常情况，帮助照护者快速响应，同时允许老年人主动向照护者报告自身状态，实现适时干预。结果显示，老年人与专业照护者均认可系统能提供更快速、个性化的服务，并可通过对话机制自主控制信息分享范围。研究进一步探讨了技术落地的实际考量。
原文摘要 · Abstract (English)
Despite the growing potential of older adult care technologies, the adoption of these technologies remains challenging. In this work, we conducted a focus-group session with family caregivers to scope designs of the older adult care technology. We then developed a high-fidelity prototype and conducted its qualitative study with professional caregivers and older adults to understand their perspectives on the system functionalities. This system monitors abnormal activity patterns of older adults using wireless motion sensors and machine learning models and supports interactive dialogue responses to explain abnormal activity patterns of older adults to caregivers and allow older adults proactively sharing their status with caregivers for an adequate intervention. Both older adults and professional caregivers appreciated that our system can provide a faster, personalized service while proactively controlling what information is to be shared through interactive dialogue responses. We further discuss other considerations to realize older adult technology in practice.
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