arXiv:2510.14359cs.AIcs.CL2025-10被引 17

AI眼镜实现主动服务,无需指令即可实时辅助生活

AI for Service: Proactive Assistance with AI Glasses

  • 基于视觉感知与任务调度的统一框架,自动识别服务时机
  • 在黑杰克助手等场景中实现无指令实时干预
  • 适合智能穿戴设备与主动式人机交互研究者

在人工智能从被动工具向主动适应性伴侣演进的时代,我们提出AI for Service(AI4Service)新范式,实现日常生活中的主动实时辅助。现有AI服务仍以响应用户指令为主,我们认为真正智能的助手应能预判需求并在合适时主动介入。为此,我们提出Alpha-Service统一框架,解决两大核心挑战:何时介入(从第一视角视频流中检测服务机会),以及如何提供通用与个性化服务。受冯·诺依曼计算机架构启发,基于AI眼镜构建,包含输入单元(感知)、中央处理单元(任务调度)、算术逻辑单元(工具使用)、记忆单元(长期个性化)和输出单元(自然人机交互)五部分。作为初步探索,我们在AI眼镜上部署多智能体系统。案例研究包括实时黑杰克建议、博物馆导览、购物试穿助手,验证了其无缝感知环境、推断用户意图并及时提供帮助的能力,且无需明确指令。

原文摘要 · Abstract (English)

In an era where AI is evolving from a passive tool into an active and adaptive companion, we introduce AI for Service (AI4Service), a new paradigm that enables proactive and real-time assistance in daily life. Existing AI services remain largely reactive, responding only to explicit user commands. We argue that a truly intelligent and helpful assistant should be capable of anticipating user needs and taking actions proactively when appropriate. To realize this vision, we propose Alpha-Service, a unified framework that addresses two fundamental challenges: Know When to intervene by detecting service opportunities from egocentric video streams, and Know How to provide both generalized and personalized services. Inspired by the von Neumann computer architecture and based on AI glasses, Alpha-Service consists of five key components: an Input Unit for perception, a Central Processing Unit for task scheduling, an Arithmetic Logic Unit for tool utilization, a Memory Unit for long-term personalization, and an Output Unit for natural human interaction. As an initial exploration, we implement Alpha-Service through a multi-agent system deployed on AI glasses. Case studies, including a real-time Blackjack advisor, a museum tour guide, and a shopping fit assistant, demonstrate its ability to seamlessly perceive the environment, infer user intent, and provide timely and useful assistance without explicit prompts.

AI眼镜主动服务多智能体人机交互

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