Follow-Me AI: Energy-Efficient User Interaction with Smart Environments

TL;DR

Follow-Me AI introduces an AI-driven approach for personalized, energy-efficient user interaction in smart environments by negotiating data, predicting behavior, and optimizing controls based on user preferences.

Contribution

This paper presents the novel Follow-Me AI concept that dynamically manages data, controls, and resources in smart environments tailored to individual users.

Findings

Demonstrated in a smart campus setting

Improved energy efficiency and user comfort

Addressed challenges in data negotiation and prediction

Abstract

This article introduces Follow-Me AI, a concept designed to enhance user interactions with smart environments, optimize energy use, and provide better control over data captured by these environments. Through AI agents that accompany users, Follow-Me AI negotiates data management based on user consent, aligns environmental controls as well as user communication and computes resources available in the environment with user preferences, and predicts user behavior to proactively adjust the smart environment. The manuscript illustrates this concept with a detailed example of Follow-Me AI in a smart campus setting, detailing the interactions with the building's management system for optimal comfort and efficiency. Finally, this article looks into the challenges and opportunities related to Follow-Me AI.