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Intelligent Verification/Validation for XR Based Systems

Associate Professor at Instituto Superior Técnico, Universidade de Lisboa
Jul. 2, 2020
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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
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