Investigating the Use of ChatGPT for the Scheduling of Construction Projects

Samuel A. Prieto, Eyob T. Mengiste, Borja García de Soto

Research output: Contribution to journalArticlepeer-review

Abstract

Generative Pre-Trained Transformer (GPT) 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 potential of such a tool in automating 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 advantages of using large language models and Natural Language Processing (NLP) techniques in the construction industry and the need for further research.

Original languageEnglish (US)
Article number857
JournalBuildings
Volume13
Issue number4
DOIs
StatePublished - Apr 2023

Keywords

  • ChatGPT
  • Construction 5.0
  • GPT 3.5
  • generative pre-training transformer
  • natural language processing
  • project management
  • scheduling

ASJC Scopus subject areas

  • Architecture
  • Civil and Structural Engineering
  • Building and Construction

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