TY - JOUR
T1 - Impact of Mobile Augmented Reality System on Cognitive Behavior and Performance during Rebar Inspection Tasks
AU - Abbas, Ali
AU - Seo, Joon Oh
AU - Kim, Min Koo
N1 - Funding Information:
This research study was supported by the Start-up Fund project (No. 1-ZE6Y) from Hong Kong Polytechnic University, Hong Kong, and a grant (No. 19CTAP-C151784-01) from the Technology Advancement Research Program funded by the Ministry of Land, Infrastructure, and Transport of the Korean government.
Publisher Copyright:
© 2020 American Society of Civil Engineers.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - Mobile augmented reality (MAR) enhances the real world through the superimposition of computer-generated information while not interfering with a users' mobility, having great potential to support various construction tasks. However, such information may lead to cognitive overload and, thus, could lead to adverse effects on the performance of tasks. Also, the narrowing of a user's field of view that comes with MAR use could limit his or her ability to notice events in their surroundings. Therefore, it is important to understand how MAR use affects cognitive behavior, as well as task and safety performance for better design and applications of MAR in construction. As a preliminary investigation, this study conducted laboratory simulations of rebar-inspection tasks and compared the cognitive load (CL), task performance (TP), and situational awareness (SA) of users of two types of MAR systems - i.e., head-mounted and handheld - against those of inspectors using traditional paper-based methods. In particular, participants' CL was measured with the National Aeronautics and Space Administration's Task Load Index (NASA-TLX), their TP by completion time and the number of rebars correctly detected, and their SA with Taylor's Situation Awareness Rating Technique (SART). Based on the results, we discuss the impact of the MAR system on rebar-inspection tasks from both cognitive and safety perspectives.
AB - Mobile augmented reality (MAR) enhances the real world through the superimposition of computer-generated information while not interfering with a users' mobility, having great potential to support various construction tasks. However, such information may lead to cognitive overload and, thus, could lead to adverse effects on the performance of tasks. Also, the narrowing of a user's field of view that comes with MAR use could limit his or her ability to notice events in their surroundings. Therefore, it is important to understand how MAR use affects cognitive behavior, as well as task and safety performance for better design and applications of MAR in construction. As a preliminary investigation, this study conducted laboratory simulations of rebar-inspection tasks and compared the cognitive load (CL), task performance (TP), and situational awareness (SA) of users of two types of MAR systems - i.e., head-mounted and handheld - against those of inspectors using traditional paper-based methods. In particular, participants' CL was measured with the National Aeronautics and Space Administration's Task Load Index (NASA-TLX), their TP by completion time and the number of rebars correctly detected, and their SA with Taylor's Situation Awareness Rating Technique (SART). Based on the results, we discuss the impact of the MAR system on rebar-inspection tasks from both cognitive and safety perspectives.
KW - Cognitive behavior and performance
KW - Cognitive load
KW - Mobile augmented reality
KW - Rebar inspection
KW - Situational awareness
UR - http://www.scopus.com/inward/record.url?scp=85090786574&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)CP.1943-5487.0000931
DO - 10.1061/(ASCE)CP.1943-5487.0000931
M3 - Journal article
AN - SCOPUS:85090786574
SN - 0887-3801
VL - 34
JO - Journal of Computing in Civil Engineering
JF - Journal of Computing in Civil Engineering
IS - 6
M1 - 04020050
ER -