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  Augmented/Virtual reality and serious games as integrators of construction technology


   School of Science, Engineering and Design

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  Dr V Vukovic, Prof N Dawood  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Aim of this PhD is to develop procedure and evaluate opportunities for utilisation of AR/VR tools in construction through serious games. The main research hypotheses is that AR/VR tools used in serious games can facilitate learning, engagement and attentiveness of AEC professionals leading to lower costs of construction, maintenance and operation of buildings.

Methodology and innovations
The study will employ desktop research and experimentation using already existing AR tools at Teesside University. Research will attempt to bring existing BIM model of a building (e.g. one of TU campus buildings) into AR and integrate near real-time information from building sensors. The result will be development of a gaming application in which the users could compete against each other while e.g. improving building energy performance, attending health and safety training/learning, conducting maintenance. Evaluation of the impacts of the developed tool(s) will be conducted in collaboration with TU Estates team and/or industry partners.

Application Web Page
Applicants must apply using the online form on the University Alliance website at https://unialliance.ac.uk/dta/cofund/how-to-apply/. Full details of the programme, eligibility details and a list of available research projects can be seen at https://unialliance.ac.uk/dta/cofund/


The final deadline for application is 12 April 2019.

Funding Notes

DTA3/COFUND participants will be employed for 36 months with a minimum salary of (approximately) £20,989 per annum. Tuition fees will waived for DTA3/COFUND participants who will also be able to access an annual DTA elective bursary to enable attendance at DTA training events and interact with colleagues across the Doctoral Training Alliance(s).

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 801604.