Participants evaluate clinical recommendations generated by Language Model A (LLM-A), with subsequent assessments of communication style characteristics using rating scales.

Participants evaluate clinical recommendations generated by Language Model B (LLM-B), followed by evaluations of communication style characteristics through metric instruments.

An artificial intelligence system generating clinical recommendations using prompts, designed to simulate clinical advisory outputs. The protocol focuses on structured medical language generation.

Participants will rate their level of agreement with AI-generated clinical suggestions presented in simulated medical scenarios. Responses will be recorded using a standardized rating scale (range 1-5, where higher scores indicate better agreement).

Participants will assess the communication style of AI-generated content, focusing on factors such as empathy. Ratings will be collected using a standardized 5-point scale (range 1-5, where higher scores reflect higher perceived quality).