Assessment of Situational Awareness in the Implementation of Sensing Technologies on a Virtual Construction Site within a Mixed Reality Environment
Mariam Tomori1, Omobolanle Ogunseiju1
- Georgia Institute of Technology
Published in Proceedings of the International Conference on Smart and Sustainable Built Environment (SASBE 2024), edited by Ali GhaffarianHoseini, Amirhosein GhaffarianHoseini, Farzad Rahimian and Mahesh Babu Purushothaman. Springer Nature, Lecture Notes in Civil Engineering, volume 591, 2025, pages 349 to 358. DOI 10.1007/978-981-96-4051-5_34.
Abstract
The recent rise in the adoption of sensing technologies, such as laser scanners and drones for improving efficiency, safety, and productivity, has driven the need for a technically skilled workforce prepared to implement these technologies. Academia is also inclined to meet this need but is often impaired by the high cost of sensing technologies and the need for hands-on experiences. Mixed reality (MR) has been explored as an alternative learning environment to equip construction students with these needed technical skills due to their potential to provide experiential learning. However, to advance the adoption of MR as an alternative learning environment, concerns persist regarding the safety risks and potential distractions posed by reduced situational Awareness (SA) during interactions with MR learning environments. While studies have explored SA in various domains, its assessment within MR environments for construction education remains unexplored. This study aims to address these concerns by evaluating users’ real-world awareness during interactions with sensing technologies in an MR learning environment. Nineteen undergraduate students were recruited to interact with sensing technologies within an MR learning environment. Using the Situational Awareness Rating Technique (SART) questionnaire and the NASA TLX cognitive assessment questionnaires, participants’ SA and cognitive load were assessed. The study further explored the effects of SA on cognitive load through correlative analysis of ratings from SART and the NASA TLX questionnaires. This study contributes to the development of virtual learning environments tailored to enhancing users’ SA and learning effectiveness.
Keywords
Session
Presented in Recorded Presentations, Session I, Friday 8 November 2024, 11:00 to 13:30, room WG 201, Auckland University of Technology. Session chair Dr Megan Burfoot.
How to Cite
Tomori, M., & Ogunseiju, O. (2025). Assessment of Situational Awareness in the Implementation of Sensing Technologies on a Virtual Construction Site within a Mixed Reality Environment. In A. GhaffarianHoseini, A. GhaffarianHoseini, F. Rahimian, & M. B. Purushothaman (Eds.), Proceedings of the International Conference on Smart and Sustainable Built Environment (SASBE 2024) (Lecture Notes in Civil Engineering, Vol. 591, pp. 349–358). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-4051-5_34
About the Conference
Presented at SASBE 2024, the International Conference on Smart and Sustainable Built Environment, held in Auckland from 7 to 9 November 2024 and chaired by Professors Ali and Amirhosein GhaffarianHoseini, founders of GDI Academy. The version of record is published by Springer Nature; this page is the conference archive record kept by GDI Academy.