An Intuitive and Modular Framework for Enhanced Human-Machine Synergy
摘要
This paper proposes a novel Artificial Intelligence (AI) framework designed to enhance human-machine synergy through an intuitive and personalized approach. The framework integrates Large Action Models (LAMs), Large Language Models (LLMs), advanced computer vision, and a personalization engine to create an AI companion that fosters empathy and understanding. The proposed framework prioritizes ethical considerations, including accessibility, privacy, and security, and aims to comply with established ethical guidelines. The AI companion is expected to improve user engagement, task completion rates, and emotional intelligence through personalized and context-aware interactions. Potential applications include healthcare, education, entertainment, and social interaction. In healthcare, the AI companion could offer personalized treatment plans, remote patient monitoring, mental health support, and early disease detection. In education, it is expected to improve learning outcomes and motivation. This work lays the foundation for reshaping human-AI interaction, emphasizing ethical considerations and user needs. Future work will focus on implementation and evaluation against existing systems.