Periodic Reporting for period 2 - PrismArch (Virtual reality aided design blending cross-disciplinary aspects of architecture in a multi-simulation environment)
Período documentado: 2021-11-01 hasta 2023-01-31
AEC industry need to embrace digital transformation as this will help to break down internal data silos and leverage the skills of cross-functional teams, encouraging collaboration to really achieve agility at scale. PrismArch allows complex and creative designs to be modelled accurately with ease while enabling collaboration in an inter-disciplinary process that passes through the close collaboration of Architects, Structural and MEP engineers. This will further enhance data-driven decision-making and cost-efficiency through the effective collaboration of all relevant contributors to each AEC project and integrate sustainability throughout lifecycle of projects.
The main objective of PrismArch has been to achieve a synergy between multiple authoring and reviewing parties for the AEC industry by locating the collaboration within a singular immersive and experiential collaboration space, and to look at the design development holistically throughout the entire life cycle of the architectural project, from pre-concept to archiving. The desired outcome is a unique platform to connect all architectural project stakeholders who are presently siloed in their respective disciplines (including clients, architects, structural engineers, MEP engineers, project managers, contactors, etc.) and to synthesize the disconnected digital information. The PrismArch platform achieves a “prismatic blend” between aesthetics, simulation models and meta-information that can be presented in a contextualized and comprehensive manner in VR space, in order to allow collaborative manipulation of the design and accurate assessment of new design decisions.
At the same time, we have made significant progress in the development of: a) an AI-assisted content generation system, where the user can cooperate with the AI to generate design solutions during the conceptual stages of design, and b) the generation of machine-learned designer models that discover patterns in the designers’ behaviour, allowing for personalised enhancements to the aforementioned design suggestions system, or other parts of the PrismArch platform. The services developed as part of the AI-related activities have been integrated inside the prototype implementation of PrismArch.
In the domain of cognition aspects and the development of usability guidelines in VR-aided design environments two studies have been undertaken. In the first study that was conducted online, participants learned a multilevel, multiroom virtual building by navigating through the rooms, and were later tested on their spatial knowledge acquisition using sketch maps. In the second study, architects had to perform design review/evaluation tasks and were monitored through an eye-tracking device, with respect to their view/navigation patterns (e.g. frequent changes of different viewports, zooming, panelling, etc). These studies have resulted in eighty-three (83) guidelines covering various aspects relevant for design, user experience, user-interactivity, collaboration and other topics.
Moreover, a number of evaluation sessions were conducted where testers were invited to join hands-on sessions of using the PrismArch prototype and experiment with a number of user scenarios that were pre-specified for them. Following, the testers were asked to fill in a relevant questionnaire as well as participate in interviews with the consortium partner leading the evaluation process.
Finally, our total audience reach form our online promotional activities were more than 60K, also having a significant estimated reach in our main target groups from our networking activities.