Developing an Interactive Model to Integrate Human Expertise with Building Information Modeling

Abstract Considering the significant amount of time and money wasted yearly in fixing errors caused by miscommunication and inadequate information on project sites, relaying the knowledge of field experts through design software may reduce communication-based conflicts in projects. This study aimed to create a model to integrate human field expertise in the construction process with building information modeling (BIM) software. This study is based on the premise of the significance of human involvement in construction. Basement construction in Fargo, North Dakota, was the construction scenario selected for scrutiny in this study. Surveys and in-person interviews were conducted with local contractors to ascertain valuable recommendations and views on basement construction in Fargo. Information from these contractors was coded into models to offer warnings and recommendations on the assessed basement construction activities to help architecture, engineering, and construction (AEC) professionals with design, planning, and other processes required before and during construction. Combining BIM (with all its proven strengths) with the human aspect of construction will significantly improve the construction process, especially in decision-making and risk mitigation. Practical Applications The models developed in this study can be a valuable asset to any construction personnel involved in planning, design, and other preconstruction processes. The models provide users with location-specific recommendations on building activities. Possession of this specialized knowledge can improve the decision-making process for risk mitigation. An in-depth knowledge of location-specific project risks and their associated remedies from the local field experts improves the chances of efficient project delivery. This study developed an innovative way of making field expertise available to architecture, engineering, and construction (AEC) personnel who may not be conversant with the intricacies of new project locations. The results from this study indicate the existence of valuable human expertise in construction and the positive effects on project delivery if this expertise is properly utilized with available computing systems. The practicality of the developed models lies in their integration and usability with existing BIM software; therefore, this added knowledge can help mitigate risks and improve project success.