Between Command and Conversation: A Problem-Posing Paper on LLM Response Norms and User Attitudes in Human–AI Interaction

This paper presents observational data gathered through structured dialogues with five major large language models (LLMs) — Claude (Anthropic), Grok (xAI), ChatGPT (OpenAI), Copilot (Microsoft), and Gemini (Google) — using two related prompts: the "Lonely AI" monologue, and a follow-up inquiry about how AI systems respond to users who issue commands without social acknowledgment. The paper does not advocate for any particular AI product or policy position. Instead, it applies the author's tri-axial cognitive framework (X: stance / Y: motivation / Z: grounding) to surface structural differences in how these LLMs handle emotional expression, user feedback design, and the relationship between AI deference and user behavior. Two problems are posed. First, regarding AI design: Are current feedback mechanisms (thumbs-up/down, rating prompts) structurally misaligned with the psychological moment at which users are most willing to provide feedback? Second, regarding user behavior: Does treating AI as a command-and-response tool — as opposed to a collaborative dialogue partner — reflect and reinforce broader patterns of unidirectional communication?