Successful education for AEC professionals: case study of applying immersive game-like virtual reality interfaces

Rahimian, Farzad Pour; Arciszewski, Tomasz; Goulding, Jack Steven

doi:10.1186/2213-7459-2-4

Cited by 39 publications

(26 citation statements)

References 21 publications

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“…Virtual environments (including IVEs) are considered to be important tools for the education and training of AEC professionals in BIM models [47,51,54,58,63,68]. Virtual reality has also been used for construction safety training and for developing a better understanding of construction processes for students [39].…”

Section: Use Of Virtual Environments In Architecture Engineering Andmentioning

confidence: 99%

“…Similarly, the AEC community has also adopted the use of virtual reality [35,61] and augmented reality [7,10,25] for supporting various construction and building simulations and information visualization [2,6,19], as well as coordination and collaboration among teams [32,40,55,63]. Although the AEC industry has used IVE technologies before (e.g., CAVE and Head Mounted Displays), their primary use has been limited to marketing purposes, visualization of BIMs [11], and education and training of AEC professionals [54].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Immersive virtual environments versus physical built environments: A benchmarking study for building design and user-built environment explorations

Heydarian

Carneiro

Gerber

et al. 2015

Automation in Construction

281

163

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Section: Use Of Virtual Environments In Architecture Engineering Andmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Immersive virtual environments versus physical built environments: A benchmarking study for building design and user-built environment explorations

Heydarian

Carneiro

Gerber

et al. 2015

Automation in Construction

281

163

View full text Add to dashboard Cite

“…With the ability to exploit and reuse information directly from the models, the current interdisciplinary collaboration can evolve towards integrated multi-disciplinary collaboration on models (Singh et al 2011). Moreover, other attempts have been made to utilize VR for educating AEC professionals such as a proof-of-concept prototype that uses a game-like VR visualization interface supported by Mind Mapping (Pour Rahimian et al 2014).…”

Section: Virtual Reality Application In Aecmentioning

confidence: 99%

Virtual reality-integrated workflow in BIM-enabled projects collaboration and design review: a case study

2018

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Introduction:A successful project delivery based on building information modeling (BIM) methods is interdependent on an efficient collaboration. This relies mainly on the visualization of a BIM model, which can appear on different mediums. Visualization on mediums such as computer screens, lack some degrees of immersion which may prevent the full utilization of the model. Another problem with conventional collaboration methods such as BIM-Big room, is the need of physical presence of participants in a room. Virtual Reality as the most immersive medium for visualizing a model, has the promise to become a regular part of construction industry. The virtual presence of collaborators in a VR environment, eliminates the need of their physical presence. Simulation of on-site task can address a number of issues during construction, such as feasibility of operations. As consumer VR tools have recently been available in the market, little research has been done on their actual employment in architecture, engineering and construction (AEC) practices. Case description: This paper investigates the application of a VR based workflow in a real project. The authors collaborated with a software company to evaluate some of their advanced VR software features, such as simulation of an on-site task. A case study of VR integrated collaboration workflow serves as an example of how firms can overcome the challenge of benefiting this new technology. A group of AEC professionals involved in a project were invited to take part in the experiment, utilizing their actual project BIM models. Discussion and evaluation: The results of the feedbacks from the experiment confirmed the supposed benefits of a VR collaboration method. Although the participants of the study were from a wide range of disciplines, they could find benefits of the technology in their practice. It also resulted that an experimental method of clash detection via simulation, could actually be practical. Conclusion:The simulation of on-site tasks and perception of architectural spaces in a 1:1 scale are assets unique to VR application in AEC practices. Nevertheless, the study shows the investment in new hardware and software, and resistant against adoption of new technologies are main obstacles of its wide adoption. Further works in computer industry is required to make these technologies more affordable.

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“…By considerable growth in the amount of valid and attainable dataset of buildings, there is an excellent interest in the utilisation of Artificial Intelligent (AI) methods specifically ML in the construction sector. Moreover, it is indicated that in order to conduct successful projects it is essential to learn and adopt novel technologies in the filed (Pour Rahimian et al 2014). The most applied ML techniques in this field are Artificial Neural Network (ANN), Support Vector Machine (SVM), Gaussian distribution regression and clustering.…”

Section: Motivationmentioning

confidence: 99%

Machine learning for estimation of building energy consumption and performance: a review

et al. 2018

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Ever growing population and progressive municipal business demands for constructing new buildings are known as the foremost contributor to greenhouse gasses. Therefore, improvement of energy efficiency of the building sector has become an essential target to reduce the amount of gas emission as well as fossil fuel consumption. One most effective approach to reducing CO2 emission and energy consumption with regards to new buildings is to consider energy efficiency at a very early design stage. On the other hand,efficient energy management and smart refurbishments can enhance energy performance of the existing stock. All these solutions entail accurate energy prediction for optimal decision making. In recent years, artificial intelligence (AI) in general and machine learning (ML) techniques in specific terms have been proposed for forecasting of building energy consumption and performance. This paper provides a substantial review on the four main ML approaches including artificial neural network, support vector machine, Gaussian-based regressions and clustering, which have commonly been applied in forecasting and improving building energy performance.

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Successful education for AEC professionals: case study of applying immersive game-like virtual reality interfaces

Cited by 39 publications

References 21 publications

Immersive virtual environments versus physical built environments: A benchmarking study for building design and user-built environment explorations

Immersive virtual environments versus physical built environments: A benchmarking study for building design and user-built environment explorations

Virtual reality-integrated workflow in BIM-enabled projects collaboration and design review: a case study

Machine learning for estimation of building energy consumption and performance: a review

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