TY - JOUR
T1 - Augmented Reality for Identifying Maintainability Concerns during Design
AU - Khalek, Imad A.
AU - Chalhoub, Jad M.
AU - Ayer, Steven
N1 - Funding Information:
+is study is based upon the work supported by the National Science Foundation under grant no. IIS-1566274.
Funding Information:
This study is based upon the work supported by the National Science Foundation under grant no. IIS-1566274.
Publisher Copyright:
© 2019 Imad A. Khalek et al.
PY - 2019
Y1 - 2019
N2 - In a building context, decisions made early in the design phase can have a major impact on maintainability of the resulting facility. Effectively leveraging the knowledge of facility management teams in the design stage can lead to improved maintainability in the operation phase, but this feedback can be challenging to elicit during the design stage because facility management teams may not be formed by the time of design. This requires designers, who may not have facility management experience, to think like facility managers in order to consider the needs of the maintenance teams. This paper examines the extent to which different visualization media may be able to enable individuals without prior maintenance experience to identify maintainability concerns in a design model. Student participants, without prior maintenance experience, were randomly assigned to explore a design to assess maintainability concerns with either augmented reality (AR) or a traditional computer screen for viewing a Building Information Model (BIM). Their perceptions, behaviors, and statements were recorded and analyzed. Results indicate that BIM supports better identification of potentially problematic areas, but AR allows users to more consistently determine why an area is problematic. This suggests an opportunity to use a hybrid BIM/AR approach for identifying and resolving maintainability considerations during the design phase. The findings from this work provide evidence to illustrate how AR and BIM may enable individuals with limited experience to be able to effectively think like facility managers in order to make better maintainability decisions during design to lead to a better building during operation.
AB - In a building context, decisions made early in the design phase can have a major impact on maintainability of the resulting facility. Effectively leveraging the knowledge of facility management teams in the design stage can lead to improved maintainability in the operation phase, but this feedback can be challenging to elicit during the design stage because facility management teams may not be formed by the time of design. This requires designers, who may not have facility management experience, to think like facility managers in order to consider the needs of the maintenance teams. This paper examines the extent to which different visualization media may be able to enable individuals without prior maintenance experience to identify maintainability concerns in a design model. Student participants, without prior maintenance experience, were randomly assigned to explore a design to assess maintainability concerns with either augmented reality (AR) or a traditional computer screen for viewing a Building Information Model (BIM). Their perceptions, behaviors, and statements were recorded and analyzed. Results indicate that BIM supports better identification of potentially problematic areas, but AR allows users to more consistently determine why an area is problematic. This suggests an opportunity to use a hybrid BIM/AR approach for identifying and resolving maintainability considerations during the design phase. The findings from this work provide evidence to illustrate how AR and BIM may enable individuals with limited experience to be able to effectively think like facility managers in order to make better maintainability decisions during design to lead to a better building during operation.
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U2 - 10.1155/2019/8547928
DO - 10.1155/2019/8547928
M3 - Article
AN - SCOPUS:85063138613
SN - 1687-8086
VL - 2019
JO - Advances in Civil Engineering
JF - Advances in Civil Engineering
M1 - 8547928
ER -