Application of Large Language Models for Detecting Semantic Ambiguity in Industrial Instructions: Impact on Human–Machine Interaction and User Experience in Process Automation Systems of a Metallurgical Plant
A method called Semantic Latent Choice Detection is presented, designed to systematically identify interpretation ambiguities in process instructions and operator commands, and shows a statistically significant reduction in errors related to misinterpretation of process regulations.