Measuring the Impact of Information Display Methods on AR HMD for Comprehending Construction Information with EEG
Publication: Construction Research Congress 2022
ABSTRACT
With the advances in Augmented Reality (AR) technology, head-mounted displays (HMDs) provide users with various information presentation options, which combine the physical world with virtual objects through a 2D or 3D display. Compared with traditional blueprint documentation, AR presents the design in a more perceptual and intuitive graphic language. However, it is necessary to understand how different information displays through HMD affect user’s comprehending performance in terms of both efficiency and cognitive status. In this paper, we describe a study measuring the impact of information display types in AR HMD on the user’s comprehension of complex construction information. Subjects from construction engineering background are using both 3D conformal model and 2D tag-along image displayed through an AR HMD to observe a roof deck design. The evaluation of each method includes both mental workload and comprehension performance. Significant differences were captured in the performance evaluation using electroencephalogram (EEG) analysis. The results show the advantage of 3D display in reducing mental workload and improving comprehending performance.
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REFERENCES
Bademosi, F., Blinn, N., and Issa, R. R. (2019). “Use of augmented reality technology to enhance comprehension of construction assemblies.” ITcon, 24, 58–79.
Behzadan, A. H., and Kamat, V. R. (2013). “Enabling discovery‐based learning in construction using telepresent augmented reality.” Automation in Construction, Elsevier, 33, 3–10.
Chen, J., Song, X., and Lin, Z. (2016). “Revealing the ‘Invisible Gorilla’ in construction: Estimating construction safety through mental workload assessment.” Automation in Construction, 63, 173–183.
Chen, J., Taylor, J. E., and Comu, S. (2017). “Assessing task mental workload in construction projects: A novel electroencephalography approach.” Journal of Construction Engineering and Management, American Society of Civil Engineers, 143(8), 04017053.
Chen, Y.-C., Chi, H.-L., Hung, W.-H., and Kang, S.-C. (2011). “Use of Tangible and Augmented Reality Models in Engineering Graphics Courses.” Journal of Professional Issues in Engineering Education and Practice, American Society of Civil Engineers, 137(4), 267–276.
Endsley, M. R. (2017). “Toward a theory of situation awareness in dynamic systems.” Situational awareness, Routledge, 9–42.
Garrett, J., and Teizer, J. (2009). “Human factors analysis classification system relating to human error awareness taxonomy in construction safety.” Journal of Construction Engineering and Management, American Society of Civil Engineers, 135(8), 754–763.
Gevins, A., Smith, M. E., McEvoy, L., and Yu, D. (1997). “High-resolution EEG mapping of cortical activation related to working memory: effects of task difficulty, type of processing, and practice.” Cerebral cortex (New York, NY: 1991), 7(4), 374–385.
Gutzwiller, R. S., and Clegg, B. A. (2013). “The role of working memory in levels of situation awareness.” Journal of Cognitive Engineering and Decision Making, Sage Publications Sage CA: Los Angeles, CA, 7(2), 141–154.
Hasanzadeh, S., Esmaeili, B., and Dodd, M. D. (2018). “Examining the relationship between construction workers’ visual attention and situation awareness under fall and tripping hazard conditions: Using mobile eye tracking.” Journal of construction engineering and management, American Society of Civil Engineers, 144(7), 04018060.
Hou, L., Wang, X., and Truijens, M. (2013). “Using augmented reality to facilitate piping assembly: an experiment-based evaluation.” Journal of Computing in Civil Engineering, 29(1), 05014007.
Jebelli, H., Hwang, S., and Lee, S. (2017). “Feasibility of field measurement of construction workers’ valence using a wearable EEG device.” Computing in Civil Engineering 2017, 99–106.
Jebelli, H., Hwang, S., and Lee, S. (2018). “EEG-based workers’ stress recognition at construction sites.” Automation in Construction, 93, 315–324.
Kishishita, N., Kiyokawa, K., Orlosky, J., Mashita, T., Takemura, H., and Kruijff, E. (2014). “Analysing the effects of a wide field of view augmented reality display on search performance in divided attention tasks.” IEEE, 177–186.
Kwiatek, C., Sharif, M., Li, S., Haas, C., and Walbridge, S. (2019). “Impact of augmented reality and spatial cognition on assembly in construction.” Automation in Construction, 108, 102935.
Park, H., and Kim, K. (2013). Efficient information representation method for driver-centered AR-HUD system. Springer, 393–400.
Qin, Y., and Bulbul, T. (2020). “Towards an EEG Based Mental Workload Evaluation Method for Construction Workers’ HMD AR Use.” American Society of Civil Engineers Reston, VA, 659–667.
Shanbari, H., Blinn, N., and Issa, R. R. (2016). “Using augmented reality video in enhancing masonry and roof component comprehension for construction management students.” Engineering, Construction and Architectural Management, Emerald Group Publishing Limited.
Sweller, J. (1988). “Cognitive load during problem solving: Effects on learning.” Cognitive science, Elsevier, 12(2), 257–285.
Tang, A., Owen, C., Biocca, F., and Mou, W. (2003). “Comparative effectiveness of augmented reality in object assembly.” ACM, 73–80.
Van Dam, J., Krasner, A., and Gabbard, J. L. (2020). “Drone-based Augmented Reality Platform for Bridge Inspection: Effect of AR Cue Design on Visual Search Tasks.” IEEE, 201–204.
Wang, D., Chen, J., Zhao, D., Dai, F., Zheng, C., and Wu, X. (2017). “Monitoring workers’ attention and vigilance in construction activities through a wireless and wearable electroencephalography system.” Automation in construction, Elsevier, 82, 122–137.
Wickens, C. D. (1984). “Processing Resources in Attention.” in Varieties of Attention, Raja Parasuraman and D. R. Davis, eds., New York: Academic Press, 63–102.
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Construction Research Congress 2022
Pages: 235 - 243
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Published online: Mar 7, 2022
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