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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

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Intelligent Verification/Validation for XR Based Systems

  • 1. 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/
  • 2. 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
  • 3. 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
  • 4. QA is crucial in the development of XR systems Iterative development cycles https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020
  • 5. Use Artificial Intelligence (AI) to support automation of XR testing https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020
  • 6. 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
  • 7. 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
  • 8. 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
  • 9. 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
  • 10. Use cases https://iv4xr-project.eu/ Workshop on Interactive Technologies, June 26, 2020
  • 11. 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
  • 12. 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

Editor's Notes

  1. Add slide with expertise: AI, Software testing