Investigating the use of ChatGPT for the scheduling of construction projects

Large language models such as ChatGPT have the potential to revolutionize the construction industry by automating repetitive and time-consuming tasks. This paper presents a study in which ChatGPT was used to generate a construction schedule for a simple construction project. The output from ChatGPT was evaluated by a pool of participants that provided feedback regarding their overall interaction experience and the quality of the output. The results show that ChatGPT can generate a coherent schedule that follows a logical approach to fulfill the requirements of the scope indicated. The participants had an overall positive interaction experience and indicated the great potential of such a tool to automate many preliminary and time-consuming tasks. However, the technology still has limitations, and further development is needed before it can be widely adopted in the industry. Overall, this study highlights the potential of using large language models in the construction industry and the need for further research. Keywords: Natural Language Processing, ChatGPT, Scheduling, Generative Pre-training Transformer, Project Management, Construction 5.0, GPT 3.5 1 Introduction Natural Language Processing (NLP) combines areas such as linguistics, computer science, and Artificial Intelligence (AI) and focuses on the interaction between computers and humans using programs that are developed from large natural language data [1]. Selected applications of NLP in the construction industry include (1) Extracting information from construction documents: NLP techniques can extract relevant information, such as specifications, plans, and contracts, and convert it into a structured format that can be quickly processed by computers [2].