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Intelligent Verification/Validation for Extended Reality Based Systems

Project description

DEENESFRITPL

A closer look at extended reality

Extended reality (XR) could be the next big thing in the digital world. While virtual reality uses a computer to create a simulated environment for users to interact with 3D worlds, augmented reality blends interactive digital elements into our real-world environments. XR is a combination of virtual, augmented and mixed reality. It could eventually change how people experience the physical and virtual environments. The possibilities for XR appear to be limitless, but uptake is a slow road. The EU-funded iv4XR project will review existing literature to detect knowledge gaps and identify factors that could facilitate the widespread uptake of XR’s.

Objective

“Extended Reality” (XR) systems are advanced interactive systems such as Virtual Reality (VR) and Augmented Reality (AR) systems. They have emerged in various domains, ranging from entertainment, cultural heritage, to combat training and mission critical applications. The development and authoring of such systems is an iterative process that also includes quality assurance to make sure that the resulting systems are correct and delivering a high quality user experience. As the complexity of these systems keeps increasing, the XR industry now finds itself confronting a soaring engineering challenge: paradoxically, XR’s fine grained and high level of interactivity and realism make such systems very hard and expensive to test. The current XR authoring and development toolset poses no XR testing technology beyond rudimentary record and replay tools that only work for simple test scenarios. This project aims to build a novel verification and validation technology for XR systems based on techniques from AI to provide learning and reasoning over a virtual world. With this technology XR developers can deploy powerful test agents to automatically explore and test the correct parameters of their virtual worlds as they iteratively develop and refine them. In addition, user experience is an equally important aspect for all XR systems. We will therefore also develop socio-emotional AI to enable test agents to conduct automated assessment of the quality of user experience and parameterization by different demographic and socio economic types, such as male, female, young, and elderly. This project will be carried out by a team consisting of four companies (large and SMEs) representing the XR industry, two universities, and two research institutes. The team combines decades of expertise in advanced interactive systems, AI, and software engineering.

Fields of science

Keywords

Programme(s)

Topic(s)

Call for proposal

H2020-ICT-2018-20

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Sub call

H2020-ICT-2018-3

Funding Scheme

RIA - Research and Innovation action

Coordinator

INESC ID - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, INVESTIGACAO E DESENVOLVIMENTO EM LISBOA
Net EU contribution
€ 682 000,00
Address
RUA ALVES REDOL 9
1000 029 Lisboa
Portugal

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Region
Continente Área Metropolitana de Lisboa Área Metropolitana de Lisboa
Activity type
Research Organisations
Links
Total cost
€ 682 000,00

Participants (8)

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Last update: 12 December 2023

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Permalink: https://cordis.europa.eu/project/id/856716

European Union, 2024