Abstract：

From intelligent voice assistants to emotional care robots, users' demands for AI are shifting from tool-based interaction to emotional companionship. How to establish deeper, more humanized human-machine relationships has become a research hotspot. Introducing attachment theory into the field of human-machine interaction research expands the theoretical perspective of human-machine relationship studies, providing a new psychological framework for understanding emotional interactions between humans and AI. By exploring AI interaction strategy design and adaptation mechanisms based on attachment types, this research aims to enrich the theoretical framework of human-machine interaction and promote interdisciplinary integration between psychology and computer science. In this regard, this paper first outlines the foundations of attachment theory, analyzes the opportunities for incorporating attachment theory into AI interaction research, and then explores AI interaction strategy design and adaptation mechanisms based on attachment types. The aim is to uncover the underlying patterns of human-machine emotional interaction and provide theoretical support for developing AI products with greater emotional intelligence.

Key Words：

attachment types; AI interaction strategies; adaptation mechanisms