Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities

Saka, Abdullahi B.; Oyedele, Lukumon O.; Akanbi, Lukman A.; Ganiyu, Sikiru A.; Chan, Daniel W.M.; Bello, Sururah A.

Abstract

The idea of developing a system that can converse and understand human languages has been around since the 1200 s. With the advancement in artificial intelligence (AI), Conversational AI came of age in 2010 with the launch of Apple's Siri. Conversational AI systems leveraged Natural Language Processing (NLP) to understand and converse with humans via speech and text. These systems have been deployed in sectors such as aviation, tourism, and healthcare. However, the application of Conversational AI in the architecture engineering and construction (AEC) industry is lagging, and little is known about the state of research on Conversational AI. Thus, this study presents a systematic review of Conversational AI in the AEC industry to provide insights into the current development and conducted a Focus Group Discussion to highlight challenges and validate areas of opportunities. The findings reveal that Conversational AI applications hold immense benefits for the AEC industry, but it is currently underexplored. The major challenges for the under exploration were highlighted and discusses for intervention. Lastly, opportunities and future research directions of Conversational AI are projected and validated which would improve the productivity and efficiency of the industry. This study presents the status quo of a fast-emerging research area and serves as the first attempt in the AEC field. Its findings would provide insights into the new field which be of benefit to researchers and stakeholders in the AEC industry.

• Journal Article Type: Review
• Acceptance Date: Dec 27, 2022
• Online Publication Date: Jan 12, 2023
• Publication Date: 2023-01
• Deposit Date: Jan 12, 2023
• Publicly Available Date: Jan 12, 2023
• Journal: Advanced Engineering Informatics
• Print ISSN: 1474-0346
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 55
• Pages: 101869
• DOI: https://doi.org/10.1016/j.aei.2022.101869
• Keywords: Artificial Intelligence; Information Systems; Building; Construction; Conversational artificial intelligence Conversational agents; Chatbot
• Public URL: https://uwe-repository.worktribe.com/output/10338596
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1474034622003275?via%3Dihub
• Additional Information: This article is maintained by: Elsevier; Article Title: Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities; Journal Title: Advanced Engineering Informatics; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.aei.2022.101869; Content Type: article; Copyright: © 2022 The Author(s). Published by Elsevier Ltd.