IDEAS home Printed from https://ideas.repec.org/a/vrs/otamic/v14y2022i1p2571-2582n1.html
   My bibliography  Save this article

Mapping the capabilities and benefits of AR construction use-cases: A comprehensive map

Author

Listed:
  • Nassereddine Hala

    (University of Kentucky, Lexington, KY, USA)

  • Schranz Christian
  • Urban Harald

    (TU Wien, Vienna, Austria)

  • Hatoum Makram Bou

    (University of Kentucky, Lexington, KY, USA)

Abstract

The construction industry has undergone a radical transformation in its design and documentation process as it evolved from the days of the drafting board to today’s Building Information Modeling process. Despite the progress, a paradox of designing 3D in 2D space remains, calling for new visualization technologies that leverage the use of information in construction. Augmented Reality (AR) is an emerging technology that can serve as an information aggregator and a data-publishing platform, allowing users to view and interact with information while collaborating with others in real-time from remote locations. While AR holds the key to advance the construction industry, no research project has yet comprehensively investigated the holistic integration of AR in construction. Thus, this paper presents a comprehensive map that provides a holistic framework to understand the integration of AR into the construction phase. To achieve the research objective, the paper identifies and describes 23 use-cases of AR in the construction phase, nine AR capabilities, and 14 AR potential benefits. Then, four AR applications in construction are explored, where the underlying use-cases are discussed and mapped as a function of their corresponding AR capabilities and potential benefits. These AR applications provide an example to illustrate the concept behind the comprehensive map. Finally, the map is developed by outlining the relationships between the identified AR use-cases, capabilities, and potential benefits. The findings of this paper are crucial for the AR implementation roadmap as it provides industry practitioners an understanding of the capabilities and benefits of integrating AR into construction tasks.

Suggested Citation

  • Nassereddine Hala & Schranz Christian & Urban Harald & Hatoum Makram Bou, 2022. "Mapping the capabilities and benefits of AR construction use-cases: A comprehensive map," Organization, Technology and Management in Construction, Sciendo, vol. 14(1), pages 2571-2582, January.
    • Handle: RePEc:vrs:otamic:v:14:y:2022:i:1:p:2571-2582:n:1
    DOI: 10.2478/otmcj-2022-0003
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/otmcj-2022-0003
    Download Restriction: no
    File URL: https://libkey.io/10.2478/otmcj-2022-0003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    2. Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Hemant K. Bhargava & Abhay Nath Mishra, 2014. "Electronic Medical Records and Physician Productivity: Evidence from Panel Data Analysis," Management Science, INFORMS, vol. 60(10), pages 2543-2562, October.
    4. Meng Tao & Muhammad Zahid Nawaz & Shahid Nawaz & Asad Hassan Butt & Hassan Ahmad, 2018. "Users’ acceptance of innovative mobile hotel booking trends: UK vs. PRC," Information Technology & Tourism, Springer, vol. 20(1), pages 9-36, December.
    5. Guenther-Lübbers, Welf & Arens, Ludwig & Theuvsen, Ludwig, 2013. "Climate-Adapted Soil Cultivation as an Aspect for Sustainable Farming – Task-Technology-Fit of a Decision Support System," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 4(1), pages 1-9, July.
    6. Liyong Wan & Shoumei Xie & Ai Shu, 2020. "Toward an Understanding of University Students’ Continued Intention to Use MOOCs: When UTAUT Model Meets TTF Model," SAGE Open, , vol. 10(3), pages 21582440209, July.
    7. repec:jtr:journl:v:4:y:2012:i:1:p:12-37 is not listed on IDEAS
    8. Shahbaz, Muhammad & Gao, Changyuan & Zhai, LiLi & Shahzad, Fakhar & Khan, Imran, 2021. "Environmental air pollution management system: Predicting user adoption behavior of big data analytics," Technology in Society, Elsevier, vol. 64(C).
    9. Arun Rai & Sandra S. Lang & Robert B. Welker, 2002. "Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis," Information Systems Research, INFORMS, vol. 13(1), pages 50-69, March.
    10. Shahzad, Khuram & Zhang, Qingyu & Zafar, Abaid Ullah & Ashfaq, Muhammad & Rehman, Shafique Ur, 2023. "The role of blockchain-enabled traceability, task technology fit, and user self-efficacy in mobile food delivery applications," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    11. Ozturk, Ahmet Bulent & Bilgihan, Anil & Nusair, Khaldoon & Okumus, Fevzi, 2016. "What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience," International Journal of Information Management, Elsevier, vol. 36(6), pages 1350-1359.
    12. Jackie London & Siyuan Li & Heshan Sun, 2022. "Seems Legit: An Investigation of the Assessing and Sharing of Unverifiable Messages on Online Social Networks," Information Systems Research, INFORMS, vol. 33(3), pages 978-1001, September.
    13. Chen, Xiaomeng & Forman, Christopher & Kummer, Michael E., 2021. "Chat more and contribute better: An empirical study of a knowledge-sharing community," ZEW Discussion Papers 21-061, ZEW - Leibniz Centre for European Economic Research.
    14. Lin, Ching-Torng & Wu, Wen-Jui & Cheng, Li-Min, 2015. "Towards understanding integration of heavyweight-product managers and collaboration software in collaborative product development: An empirical study in Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 156-167.
    15. Pitafi, Abdul Hameed & Kanwal, Shamsa & Ali, Ahsan & Khan, Ali Nawaz & Waqas Ameen, Muhammad, 2018. "Moderating roles of IT competency and work cooperation on employee work performance in an ESM environment," Technology in Society, Elsevier, vol. 55(C), pages 199-208.
    16. Brooks, Patti & El-Gayar, Omar & Sarnikar, Surendra, 2015. "A framework for developing a domain specific business intelligence maturity model: Application to healthcare," International Journal of Information Management, Elsevier, vol. 35(3), pages 337-345.
    17. Thuy Duong Oesterreich & Eduard Anton & Julian Schuir & Alexander Brehm & Frank Teuteberg, 2023. "How can I help you? Design principles for task-oriented speech dialog systems in customer service," Information Systems and e-Business Management, Springer, vol. 21(1), pages 37-79, March.
    18. Peter Verhoeven & Florian Sinn & Tino T. Herden, 2018. "Examples from Blockchain Implementations in Logistics and Supply Chain Management: Exploring the Mindful Use of a New Technology," Logistics, MDPI, vol. 2(3), pages 1-19, September.
    19. Gebauer, Judith & Ginsburg, Mark, 2006. "Exploring the Black Box of Task-Technology Fit: The Case of Mobile Information Systems," Working Papers 06-0120, University of Illinois at Urbana-Champaign, College of Business.
    20. Marikyan, Davit & Papagiannidis, Savvas & Rana, Omer F. & Ranjan, Rajiv & Morgan, Graham, 2022. "“Alexa, let’s talk about my productivity”: The impact of digital assistants on work productivity," Journal of Business Research, Elsevier, vol. 142(C), pages 572-584.
    21. Yu-Shan Chen & Stanley Y.B. Huang, 2017. "The effect of task-technology fit on purchase intention: The moderating role of perceived risks," Journal of Risk Research, Taylor & Francis Journals, vol. 20(11), pages 1418-1438, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:otamic:v:14:y:2022:i:1:p:2571-2582:n:1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.