paper-with-me

홈 › Papers

Intelligence of Things: A Spatial Context-Aware Control System for Smart Devices

2025-04-16 · Sukanth Kalivarathan, Muhmmad Abrar Raja Mohamed, Aswathy Ravikumar, S Harini

This paper introduces Intelligence of Things (INOT), a novel spatial context-aware control system that enhances smart home automation through intuitive spatial reasoning. Current smart home systems largely rely on device-specific identifiers, limiting user interaction to explicit naming conventions rather than natural spatial references. INOT addresses this limitation through a modular architecture that integrates Vision Language Models with IoT control systems to enable natural language commands with spatial context (e.g., "turn on the light near the window"). The system comprises key components including an Onboarding Inference Engine, Zero-Shot Device Detection, Spatial Topology Inference, and Intent-Based Command Synthesis. A comprehensive user study with 15 participants demonstrated INOT's significant advantages over conventional systems like Google Home Assistant, with users reporting reduced cognitive workload (NASA-TLX scores decreased by an average of 13.17 points), higher ease-of-use ratings, and stronger preference (14 out of 15 participants). By eliminating the need to memorize device identifiers and enabling context-aware spatial commands, INOT represents a significant advancement in creating more intuitive and accessible smart home control systems.

📄 PDF Abstract BibTeX arXiv:2504.13942

Code (0)

등록된 구현이 없습니다.

Tasks

Spatial Reasoning

Similar Papers 제목 키워드 기반

From Where Things Are to What They Are For: Benchmarking Spatial-Functional Intelligence in Multimodal LLMs

2026-05-04 · Le Zhang, Jihan Yang, Soundarya Krishnan, Jimit Majmudar 외 arxiv

Human-level agentic intelligence extends beyond low-level geometric perception, evolving from recognizing where things are to understanding what they are for. While existing benchmarks effectively evaluate the geometric …

Relational ReasoningSpatial Reasoning

An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery

2022-01-26 · Md. Shirajum Munir, Seong-Bae Park, Choong Seon Hong

One of the core envisions of the sixth-generation (6G) wireless networks is to accumulate artificial intelligence (AI) for autonomous controlling of the Internet of Everything (IoE). Particularly, the quality of IoE serv…

Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)regression

Real-time Geoinformation Systems to Improve the Quality, Scalability, and Cost of Internet of Things for Agri-environment Research

2024-03-28 · Bryan C. Runck, Bobby Schulz, Jeff Bishop, Nathan Carlson 외

With the increasing emphasis on machine learning and artificial intelligence to drive knowledge discovery in the agricultural sciences, spatial internet of things (IoT) technologies have become increasingly important for…

Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

2020-11-17 · Jing Zhang, DaCheng Tao

In the Internet of Things (IoT) era, billions of sensors and devices collect and process data from the environment, transmit them to cloud centers, and receive feedback via the internet for connectivity and perception. H…

Cloud ComputingEdge-computingspeech-recognitionSpeech Recognition

Diffusion Language Models for Mobile Edge Agentic AI: Foundations, Applications, and Challenges

2026-09-04 · Chenqi Li, Minghui Min, Dusit Niyato, Wei Ni arxiv

Diffusion language models (DLMs) offer a non-autoregressive alternative for mobile edge agentic artificial intelligence (AI) by refining tokens through iterative denoising rather than left-to-right decoding. Compared wit…