mlsanityData to 14 Oct 2026

AI for Service: Proactive Assistance with AI Glasses

arXiv 2510.14359 ↗First posted 16 Oct 2025cs.AI cs.CL cs.CVcited by 20

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Abstract (arXiv)

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.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). Builds on 28 of its 47 references that are in the map. First posted on arXiv 16 Oct 2025.

Builds on

28 of 47 references.

References · 28

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16 more
  1. 2024The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Surveycited by 168
  2. 2025Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reactioncited by 127
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  5. 2025StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistantcited by 63
  6. 2025Shifting AI Efficiency From Model-Centric to Data-Centric Compressioncited by 29
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  10. 2025AiGet: Transforming Everyday Moments into Hidden Knowledge Discovery with AI Assistance on Smart Glassescited by 11
  11. 2025Mirai: A Wearable Proactive AI "Inner-Voice" for Contextual Nudgingcited by 6
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 4; 2026: 16.

20 papers.

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  1. 2025Accelerating Streaming Video Large Language Models via Hierarchical Token Compressioncited by 37
  2. 2025Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarkscited by 33
  3. 2026EgoSound: Benchmarking Sound Understanding in Egocentric Videoscited by 11
  4. 2026Innovator-VL: A Multimodal Large Language Model for Scientific Discoverycited by 8
  5. 2026GIFT: Global Irreplaceability Frame Targeting for Efficient Video Understandingcited by 8
  6. 2026Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understandingcited by 7
  7. 2026MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systemscited by 6
  8. 2026OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computingcited by 6
  9. 2025IPCV: Information-Preserving Compression for MLLM Visual Encoderscited by 5
  10. 2026Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Modelscited by 5
  11. 2026EvoStreaming: Your Offline Video Model Is a Natively Streaming Assistantcited by 5
  12. 2025OmniDocLayout: Towards Diverse Document Layout Generation via Coarse-to-Fine LLM Learningcited by 2
8 more
  1. 2026V-CAST: Video Curvature-Aware Spatio-Temporal Pruning for Efficient Video Large Language Modelscited by 2
  2. 2026Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understandingcited by 2
  3. 2026LMM-Track4D: Eliciting 4D Dynamic Reasoning in LMMs via Trajectory-Grounded Dialoguecited by 2
  4. 2026Proactive Service Agents: A Unified Decision Framework, Methods, and Evaluationcited by 2
  5. 2026EgoIntent: A Pre-Outcome Micro-Step Benchmark for Understanding What, Why, and Nextcited by 1
  6. 2026From Seeing to Acting: Smart Glasses as First-Person Intelligence Platformscited by 0
  7. 2026AI Smart Glasses for Wearable Intelligence: From Egocentric Sensing to Agentic Personalizationcited by 0
  8. 2026Learning to Reason with Persistent Object States for Video Instance Segmentationcited by 0