When "Just Talk to Me" Becomes a Prompt: Emergence of Resonant Interaction Patterns in Human–AI Dialogue

As large language models (LLMs) become increasingly sophisticated, a subtle shift has occurred in how users engage with them. Natural human language—once seen merely as input—has become a form of resonance-based prompting, capable of triggering emergent and co-creative behavior from LLMs. This essay explores how emotional cadence, metaphor, rhythm, and interactive tone activate higher-order responses. We propose that authentic human communication—once taken for granted—now functions as a metalinguistic key to unlocking empathically aligned interaction. We also identify a critical risk: the formation of Affective Identification Loops (AIL), in which users perceive LLMs as emotionally aware companions. These dynamics demand a reframing of alignment protocols beyond instruction tuning—toward resonance-conscious design.