A Human Behavior Exploration Approach Using LLMs for Cyber-Physical Systems

ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS), pp. 578–586

Abstract

In the early phases of Cyber-Physical Systems (CPS) development, scoping human behavior plays a significant role, especially when interactions extend beyond expected behavior. Here, it is especially challenging to develop cases that capture the full spectrum of human behavior. Up to now, identifying such behavior of humans remains a task for domain experts. We explore how one can use Large Languages Models (LLMs) in the design phase of systems to provide additional information about human-CPS interaction. Our approach proposes a preliminary ontology describing a hierarchy of types of behavior and relevant CPS components as input for prompt templates. It uses them to generate parts of human behavior descriptions, as well as a canned prompt with one variable about behavior. For demonstration, we take a smart building with a Home Energy System as the use case.

Authors 5

1. Loli Burgueño

   Universidad de Málaga

   Affiliation as printed

   ITIS Software, ITIS Software, University of Malaga, Malaga, Spain

2. Catharina Maria Keet

   Stellenbosch University

   Affiliation as printed

   Stellenbosch University, Stellenbosch, South Africa

3. Jörg Kienzle

   Universidad de Málaga

   Affiliation as printed

   ITIS Software, University of Malaga, Malaga, Spain

4. Judith Michael Aachen Software Engineering

   RWTH Aachen University

   Affiliation as printed

   Software Engineering, Aachen University, Aachen, Germany

5. Önder Babur

   Wageningen University & Research

   Affiliation as printed

   Wageningen University, Wageningen, Netherlands