Understanding the challenges of immersive technology use in the architecture and construction industry: A systematic review

Despite the increasing scholarly attention being given to immersive technology applications in the architecture and construction industry, very few studies have explored the key challenges associated with their usage, with no aggregation of findings or knowledge. To bridge this gap and gain a better understanding of the state-of-the-art immersive technology application in the architecture and construction sector, this study reviews and synthesises the existing research evidence through a systematic review. Based on rigorous inclusion and exclusion criteria, 51 eligible articles published between 2010 and 2019 (inclusive) were selected for the final review. Predicted upon a wide range of scholarly journals, this study develops a generic taxonomy consisting of various dimensions. The results revealed nine (9) critical challenges which were further ranked in the following order: Infrastructure; Algorithm Development; Interoperability; General Health and Safety; Virtual Content Modelling; Cost; Skills Availability; Multi-Sensory Limitations; and Ethical Issues

An automated machine learning approach for classifying infrastructure cost data

Data on infrastructure project costs are often unstructured and lack consistency. To enable costs to be compared within and between organizations, large amounts of data must be classified to a common standard, typically a manual process. This is time-consuming, error-prone, inconsistent, and subjective, as it is based on human judgment. This paper describes a novel approach for automating the process by harnessing natural language processing identifying the relevant keywords in the text descriptions and implementing machine learning classifiers to emulate the expert's knowledge. The task was to identify “extra over” cost items, conversion factors, and to recognize the correct work breakdown structure (WBS) category. The results show that 94% of the “extra over” cases were correctly classified, and 90% of cases that needed conversion, correctly predicting an associated conversion factor with 87% accuracy. Finally, the WBS categories were identified with 72% accuracy. The approach has the potential to provide a step change in the speed and accuracy of structuring and classifying infrastructure cost data for benchmarking

Virtual reality utility and usefulness in the furniture, fixture and equipment sector: a validation of interactive and distributed immersion

PURPOSE: The Furniture, Fixture and Equipment (FFE) sector is well placed to leverage virtual reality (VR) technology for competitive and operational advantages; however, the diffusion of VR applications in this sector has followed a steep curve. This study reports on the implementation of two novel VR applications in the FFE sector and also investigates the challenges and benefits associated with their use and adaptability. DESIGN/METHODOLOGY/APPROACH: A sequential exploratory mixed research methodology consisting of three phases was adopted for this study. This included identification of factors that affect/facilitate the implementation of VR (Challenges and Benefits) using experiments during in-house prototyping of VR applications, a rigorous literature review and questionnaire survey to solicit FFE Stakeholder's (n = 117) opinion on the utility and usefulness of the proposed applications and to the understand factors that facilitate and inhibit their implementation in FFE's context, particularly as a design communication and coordination tool. FINDINGS: The findings of this study revealed that distributed and single-user VR has become essential to digitalising the FFE sector's design communication with improved design communication being regarded as the most important benefit of its use. Conversely, the most critical challenge that inhibits the implementation of these two VR applications in the FFE sector is the perceived cost. ORIGINALITY/VALUE: This study provides valuable insight to FFE's stakeholders to devise action plans to mitigate myriad complex and interrelated factors that affect the adoption of virtual reality technology in the FFE sector that are otherwise very hard to understand, and the consequential implementation of any mitigation plans cannot be devised

Extending indoor open street mapping environments to navigable 3D citygml building models: Emergency response assessment

© Authors 2018. Disaster scenarios in high-rise buildings such as the Address Downtown, Dubai or Grenfell Tower, London have showed ones again the importance of data information availability for emergency management in buildings. 3D visualization of indoor routing services using extensive and high quality geographic data sources is essential for spatial analysis in emergency responses. In order to facilitate emergency response simulations, a combination of geometrical, graphical and semantic information is essential. Successful and efficient emergency evacuation responses is facilitated by the availability of both digital static and dynamic information of the incident site. However, interruptions may be encountered with the availability of dynamic data, where static data developed using indoor navigation ontologies serve as an alternative to inform the first responders. Thus, it is necessary to obtain a firm, interactive and quasi-realistic virtual simulation of the building environments. Voxelized CityGML models imported into voxel based hazard simulation systems fits well into the simulation algorithm requirements (Groger et al., 2008; Moreno et.al, 2010). Therefore, the research investigates an alternative platform for generating CityGML spatial analysis models. LoD4 models are developed using Computer Aided Design (Auto CAD) 2D files, crowdsourced geo-data (OpenStreetMap) and open source tools. A combination of software packages is utilized for 3D reconstruction of building interiors. This process is achieved through a Java application developed by researchers at Heidelberg University. Conclusions drawn from the research validate the 3D CityGML model generation process as an international standard to effectively enhance the outcome of emergency evacuation simulations of high rise buildings

Characterization of in-situ Doped Polycrystalline Silicon Using Schottky Diodes and Admittance Spectroscopy

In this work, Schottky Au-Polycrystalline silicon diodes are successfully realised. The barrier height is around ФB = 0.74 eV as determined from Capacitance – Bias (C-V) characteristics. The depth profile of the apparent doping is deduced from these measurements. Its behaviour leads to the experimental profile. Moreover, the diode admittance measurements versus the frequency and the temperature at different biases show the possibility to use this device to characterise the electrical quality of the polycrystalline silicon

TWO-GRAPH BUILDING INTERIOR REPRESENTATION for EMERGENCY RESPONSE APPLICATIONS

Nowadays, in a rapidly developing urban environment with bigger and higher public buildings, disasters causing emergency situations and casualties are unavoidable. Preparedness and quick response are crucial issues saving human lives. Available information about an emergency scene, such as a building structure, helps for decision making and organizing rescue operations. Models supporting decision-making should be available in real, or near-real, time. Thus, good quality models that allow implementation of automated methods are highly desirable. This paper presents details of the recently developed method for automated generation of variable density navigable networks in a 3D indoor environment, including a full 3D topological model, which may be used not only for standard navigation but also for finding safe routes and simulating hazard and phenomena associated with disasters such as fire spread and heat transfer.This research/publication was made possible by a National Priority Research Program NPRP award [NPRP-06-1208-2-492] from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors.Scopu

Building information modelling (BIM) capability and delivery success on construction projects

Purpose: In spite of emerging research on building information modelling (BIM) capability assessment, there is a general dearth of knowledge about the links between often pre-emptive capability measurement attributes and actual delivery success. More so, current studies have not considered success from the wider construction supply chain (CSC) perspective. So far, the perceived importance of capability metrics is not based on post-project evaluations of their contribution to BIM delivery success. This paper aims to identify relevant BIM capability attributes used for qualifying CSC organisations for projects and further aims to investigate their relative importance and influence on some key aspects of BIM delivery success. Design/methodology/approach: Based on heretofore validated set of BIM capability attributes from semi-structured interviews and a Delphi study, a survey of CSC firms on BIM-enabled projects was used to model the influence of BIM capability attributes on BIM delivery success. Multiple regression modelling was performed to ascertain the nature of the relationship between BIM capability attributes and the key aspects of BIM delivery success as identified from the literature. Findings: BIM staff experience and the suitability of proposed methodology prior to project commencement were identified as the most influential on BIM delivery quality, as well as delivery within schedule and on budget. Conversely, the administrative and strategic-level capacities were found as the most influential in leveraging collaboration, coordination or integration of the CSC on projects through BIM. Originality/value: This study provides a step change in prioritising BIM capability criteria based on evidence of their contribution to delivery success in key performance areas, rather than their perceived importance as capability metrics as widely practised