Burgueno, L and Keet, CM and Kienzle, J and Michael, J and Barbur, O (2024) A Human Behavior Exploration Approach Using LLMs for Cyber-Physical Systems, Proceedings of MDE Intelligence workshop at MODELS 2024, 22-27 September 2024, Linz, Austria, (accepted/inprint), ACM.
Full text not available from this repository. (Use alternate locations listed below)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 hu- 21 man 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. 31 An initial user evaluation shows that the behavior descriptions 32 generated with standard and ontology-driven prompts complement 33 each other and are useful when assisting humans. The discovered 34 uncommon behaviors can be used to complete interaction scenarios 35 that eventually result in a more robust CPS implementation.
| Item Type: | Conference paper |
|---|---|
| Subjects: | Applied computing > Enterprise computing > Enterprise ontologies, taxonomies and vocabularies Software and its engineering > Software creation and management > Designing software |
| Date Deposited: | 10 Aug 2024 13:33 |
| Last Modified: | 10 Aug 2024 13:33 |
| URI: | https://pubs.cs.uct.ac.za/id/eprint/1688 |
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