Deakin University
Browse

File(s) under permanent embargo

Integrating mobile building information modelling and augmented reality systems: An experimental study

Version 2 2024-06-05, 06:00
Version 1 2019-10-02, 09:48
journal contribution
posted on 2024-06-05, 06:00 authored by M Chu, Jane MatthewsJane Matthews, PED Love
© 2017 The benefits of Building Information Modelling (BIM) have typically been tied to its capability to support information structuring and exchange through the centralization of information. Its increasing adoption and the associated ease of data acquisition has created information intensive work environments, which can result in information overload and thus negatively impact workers task efficiency during construction. Augmented Reality (AR) has been proposed as a mechanism to enhance the process of information extraction from building information models to improve the efficiency and effectiveness of workers’ tasks. Yet, there is limited research that has evaluated the effectiveness and usability of AR in this domain. This research aims to address this gap and evaluate the effectiveness of BIM and AR system integration to enhance task efficiency through improving the information retrieval process during construction. To achieve this, a design science research approach was adopted that enabled the development and performance of a mobile BIM AR system (artefact) with cloud-based storage capabilities to be tested and evaluated using a portable desktop experiment. A total of 20 participants compared existing manual information retrieval methods (control group), with information retrieval through the artefact (non-control group). The results revealed that the participants using the artefact were approximately 50% faster in completing their experiment tasks, and committed less errors, when compared to the control group. This research demonstrates that a minor modification to existing information formats (2D plans) with the inclusion of Quick Response markers can significantly improve the information retrieval process and that BIM and AR integration has the potential to enhance task efficiency.

History

Journal

Automation in Construction

Volume

85

Pagination

305-316

Location

Amsterdam, The Netherlands

ISSN

0926-5805

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Publisher

Elsevier

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC