TY - GEN
T1 - Exploring the Construction Task Performance and Cognitive Workload of Augmented Reality-Assisted Rebar Inspection Tasks
AU - Abbas, Ali
AU - Seo, Joon Oh
AU - Kim, Min Koo
N1 - Funding Information:
This research study was financially supported by the Start-up Fund project (No. 1-ZE6Y) from the Hong Kong Polytechnic University.
Publisher Copyright:
© 2020 American Society of Civil Engineers.
PY - 2020
Y1 - 2020
N2 - Augmented reality (AR) is capturing increasing attention as a way to provide cognitive assistance in many fields. Inspiring from the benefits of AR, architecture, engineering, and construction industries and researchers are interested to apply AR technologies for various construction tasks such as design review, assembly, inspection, or facility maintenance, etc. However, even though AR technologies are designed to support users' cognitive capability by providing superimposed information on real-world scenes, this information from AR may lead to one's cognitive overload, causing an adverse effect on task performance. As a result, it is important to understand how AR would affect one's cognitive load, and in turn, task performance for better use of AR systems in construction. As a preliminary investigation, this research compared task performance and cognitive loads during traditional paper-based and AR-assisted rebar inspection tasks in the laboratory setting. Participants' task performance was measured by task completion time and the number of rebars correctly detected, whereas cognitive load was measured by the NASA task load index (TLX). Based on the result, we discussed the impact of AR application on rebar inspection tasks from a cognitive perspective.
AB - Augmented reality (AR) is capturing increasing attention as a way to provide cognitive assistance in many fields. Inspiring from the benefits of AR, architecture, engineering, and construction industries and researchers are interested to apply AR technologies for various construction tasks such as design review, assembly, inspection, or facility maintenance, etc. However, even though AR technologies are designed to support users' cognitive capability by providing superimposed information on real-world scenes, this information from AR may lead to one's cognitive overload, causing an adverse effect on task performance. As a result, it is important to understand how AR would affect one's cognitive load, and in turn, task performance for better use of AR systems in construction. As a preliminary investigation, this research compared task performance and cognitive loads during traditional paper-based and AR-assisted rebar inspection tasks in the laboratory setting. Participants' task performance was measured by task completion time and the number of rebars correctly detected, whereas cognitive load was measured by the NASA task load index (TLX). Based on the result, we discussed the impact of AR application on rebar inspection tasks from a cognitive perspective.
UR - http://www.scopus.com/inward/record.url?scp=85096792997&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85096792997
T3 - Construction Research Congress 2020: Computer Applications - Selected Papers from the Construction Research Congress 2020
SP - 448
EP - 456
BT - Construction Research Congress 2020
A2 - Tang, Pingbo
A2 - Grau, David
A2 - El Asmar, Mounir
PB - American Society of Civil Engineers (ASCE)
T2 - Construction Research Congress 2020: Computer Applications
Y2 - 8 March 2020 through 10 March 2020
ER -