Lee, Y S; Rashidi, A; Talei, A; Arashpour, M and Pour Rahimian, F (2022) Integration of deep learning and extended reality technologies in construction engineering and management: A mixed review method. Construction Innovation, 22(3), pp. 671-701. ISSN 1471-4175
Abstract
Purpose: In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A significant amount of research efforts has been thus dedicated to the automation of construction-related activities and visualization of the construction process. The purpose of this study is to investigate potential research opportunities in the integration of deep learning and XR technologies in construction engineering and management. Design/methodology/approach: This study presents a literature review of 164 research articles published in Scopus from 2006 to 2021, based on strict data acquisition criteria. A mixed review method, consisting of a scientometric analysis and systematic review, is conducted in this study to identify research gaps and propose future research directions. Findings: The proposed research directions can be categorized into four areas, including realism of training simulations; integration of visual and audio-based classification; automated hazard detection in head-mounted displays (HMDs); and context awareness in HMDs. Originality/value: This study contributes to the body of knowledge by identifying the necessity of integrating deep learning and XR technologies in facilitating the construction engineering and management process.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | augmented reality; autonomous construction; construction engineering; deep learning; digital transformation; extended reality; virtual reality |
| Index terms: | virtual reality, systematic literature review, automation, built environment, visualization, literature review, construction process, realism, body of knowledge, transformation, augmented reality, data acquisition, construction engineering, methodology, integration, deep learning |
| Subjects: | data collection methods, data analysis and analytics, automation and robotics, research methods, engineering methods, building construction, business, visualization, education and knowledge transfer, artificial intelligence, organizational analysis, knowledge management, research evaluation and metrics, infrastructure and transport systems, virtual reality, design practice |
| Topics: | Engineering Principles, Urban Studies, Design Practice, Business Strategy, Information Management, Research Practice, Site Management, Organizational Design, Digital Applications |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here