Intelligent Verification/Validation for XR Based Systems

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Pitch of the Intelligent Verification/Validation for XR Based Systems (iv4XR - https://iv4xr-project.eu/) project at the Workshop on Interactive Technologies organised by the European Commission.

Engineering

Intelligent
Verification/Validation for
XR Based Systems
Research and Innovation Action
EU H2020-ICT-2018-3 - 856716
Rui Prada, Wishnu Prasetya
https://iv4xr-project.eu/

3 years: October 2019 – December 2022
https://iv4xr-project.eu/
Universities and Research
- INESC-ID, Portugal (Coordinator)
- Utrecht University, The Netherlands
- Fondazione Bruno Kessler, Italy
- Universitat Politecnica Valencia, Spain
- Umeå University, Sweden
Industry
- Gameware Europe, UK
- Good AI, Czech Republic
- Thales (SIX and AVS), France
https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020

Quality of XR systems is hard
(and expensive) to assess
Highly interactive
Rich and complex environments
Diverse multi-modal input and output
Testing demands high human labour (user testing)
https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020

QA is crucial in the development of XR systems
Iterative development cycles
https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020

Use Artificial Intelligence (AI)
to support automation of XR
testing
https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020

Testing Functional Properties
• The behaviour of the system
1
Testing User Experience (UX)
• The impact on the user
2
https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020

Autonomous
testing agents
Actively pursue testing goals
Intelligent coverage of the interaction space
Identify potential interaction paths
Represent users with different profiles
https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020

Agent
capabilities
Cognitive Models
Sensing, Memory and Decision-making
Machine Learning
Affective Computing
Curiosity Search
https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020

Multi-agent testing framework
Agent runtime system
World object model / coupling interface
Specification of test goals: formal conditions, reward functions, case examples
https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020

Use cases
https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020

Emerging
opportunities
post COVID-19
Automated testing handles the lack of
available users to test
XR improves virtual collaboration spaces
Virtual meetings
Virtual labs
Virtual classrooms
XR improves costumer experience
https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020

Intelligent
Verification/Validation for
XR Based Systems
Research and Innovation Action
EU H2020-ICT-2018-3 - 856716
Rui Prada Rui Prada (INESC-ID):
rui.prada@gaips.inesc-id.pt
https://iv4xr-project.eu/
@iv4xr

Li Cheng has a Master's degree in Electrical and Systems Engineering from Washington University in St. Louis and a Bachelor's degree in Electrical and Communication Engineering from East China University of Science and Technology. He currently works as a Software Developing Engineer at Amazon Web Services. Previously, he worked as a Grader & Tutor at Washington University and as an Assistant Engineer intern at Shanghai Research Institute Co., Ltd. of China Post Group. He has skills in programming languages like Java, JavaScript, C/C++, and Python.

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