Enhancing Interactions in Augmented Reality for Construction Sites: Introducing the Archi Ontology Karim Farghaly University College London, United Kingdom Khalid Amin University College London, United Kingdom Grant Mills University College London, United Kingdom Duncan Wilson University College London, United Kingdom This is a section of CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality (DOI: 10.36253/979-12-215-0289-3) by Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi Firenze University Press Florence 2023 https://doi.org/10.36253/10.36253/979-12-215-0289-3.84

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Augmented reality (AR) systems offer new possibilities for enhancing how people interact with information and their environment in the construction sector. However, traditional software-driven approaches to AR system design have limitations in creating intuitive user experiences. This research presents a new user-centric framework and ontology for BIM-AR system development focused on human needs and perspectives. The BIM-AR Framework consists of a 5-step circular hybrid process with the user at the center. To enable knowledge sharing, the Augmented Reality Computer-Human Interaction (ARCHI) ontology was developed using Protégé based on established design principles. Initial validation indicates the framework's potential for improved AR system design, but further expert review and case studies are needed. The ontology also requires additional refinement and linkage to open data. This pioneering research lays the groundwork for next-generation AR systems that emphasize usability by taking a human-focused approach. With rigorous validation and evolution, the framework and ontology could transform AR technology development to create more purpose-driven and adopted solutions. This research represents a paradigm shift to user-centric AR system design that has significant potential to improve how augmented reality enhances construction project management

 Augmented Reality Building Information Modeling BIM Linked Data Ontology Human Computer Interaction

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References Amin, K., Mills, G., & Wilson, D. (2023). Key functions in BIM-based AR platforms. Automation in Construction, 150, 104816. 10.1016/j.autcon.2023.104816 Amin, K., Mills, G., Wilson, D., & Farghaly, K. (2023). Augmenting BIM Workflows in Construction Projects. 949–958. Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., & MacIntyre, B. (2001). Recent advances in augmented reality. IEEE Computer Graphics and Applications, 21(6), 34–47. 10.1109/38.963459 Behzadan, A. H., & Kamat, V. R. (2009). Interactive augmented reality visualization for improved damage prevention and maintenance of underground infrastructure. Construction Research Congress 2009: Building a Sustainable Future, 1214–1222. Costa, S. D., Barcellos, M. P., Falbo, R. de A., Conte, T., & de Oliveira, K. M. (2022). A core ontology on the Human–Computer Interaction phenomenon. Data & Knowledge Engineering, 138, 101977. 10.1016/j.datak.2021.101977 Elshafey, A., Saar, C. C., Aminudin, E. B., Gheisari, M., & Usmani, A. (2020). Technology acceptance model for Augmented Reality and Building Information Modeling integration in the construction industry. Journal of Information Technology in Construction, 25. Farghaly, K., Soman, R. K., & Zhou, S. A. (2023). The evolution of ontology in AEC: A two-decade synthesis, application domains, and future directions. Journal of Industrial Information Integration, 36, 100519. 10.1016/j.jii.2023.100519 Gruber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing? International Journal of Human-Computer Studies, 43(5–6), 907–928. Hlomani, H., & Stacey, D. (2014). Approaches, methods, metrics, measures, and subjectivity in ontology evaluation: A survey. Semantic Web Journal, 1(5), 1–11. Noy, N. F., & McGuinness, D. L. (2001). Ontology development 101: A guide to creating your first ontology. Stanford knowledge systems laboratory technical report KSL-01-05 and \ldots. Rankohi, S., & Waugh, L. (2013). Review and analysis of augmented reality literature for construction industry. Visualization in Engineering, 1(1), 9. 10.1186/2213-7459-1-9 Sepasgozar, S. M. E., Loosemore, M., & Davis, S. R. (2016). Conceptualising information and equipment technology adoption in construction: A critical review of existing research. Engineering, Construction and Architectural Management, 23(2), 158–176. 10.1108/ECAM-05-2015-0083 Sidani, A., Matoseiro Dinis, F., Duarte, J., Sanhudo, L., Calvetti, D., Santos Baptista, J., Poças Martins, J., & Soeiro, A. (2021). Recent tools and techniques of BIM-Based Augmented Reality: A systematic review. Journal of Building Engineering, 42, 102500. 10.1016/j.jobe.2021.102500 Um, J., Park, J. min, Park, S. yeon, & Yilmaz, G. (2023). Low-cost mobile augmented reality service for building information modeling. Automation in Construction, 146, 104662. 10.1016/j.autcon.2022.104662 Wang, K., Guo, F., Zhou, R., & Qian, L. (2023). Implementation of augmented reality in BIM-enabled construction projects: A bibliometric literature review and a case study from China. Construction Innovation, ahead-of-print(ahead-of-print). 10.1108/CI-08-2022-0196 Wang, X., & Dunston, P. S. (2006). Compatibility issues in Augmented Reality systems for AEC: An experimental prototype study. Automation in Construction, 15(3), 314–326. 10.1016/j.autcon.2005.06.002 Wang, X., Kim, M. J., Love, P. E. D., & Kang, S.-C. (2013). Augmented Reality in built environment: Classification and implications for future research. Automation in Construction, 32(April 2016), 1–13. 10.1016/j.autcon.2012.11.021