Ergonomic LLM or LLM for Ergonomics? Prompt engineering insights for an interventional case study

Abstract

Abstract Background With the arrival of new technologies associated with the fourth industrial revolution (IR 4.0), the way humans interact with technology has undergone fundamental changes. In the last two years, a new generation of technology, large language models (LLMs), and with the leader position of ChatGPT from OpenAI has gained a lot of attention. Objective In the current study, prompt engineering technique usefulness regards to Human-Chat GPT interaction is discussed. Methods Three types of interaction with Chat GPT including zero-shot, little-shot and fine-tune prompting are considered. Results Our small case study implies that Human-Chat GPT interaction can be influenced under the proper usage of prompt engineering. Conclusion I implied that, prompt engineering can be included in future Human Factors and Ergonomics courses in academia (for ergonomists) or in industries (for employees or employers).