Agent-based Testing of Extended Reality Systems

Rui Prada, I. S. W. B. Prasetya, Fitsum Meshesha Kifetew, Frank Dignum, Tanja E. J. Vos, Jason Lander, Jean-Yves Donnart, Alexandre Kazmierowski, Joseph Davidson, Pedro M. Fernandes

Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review


Testing for quality assurance (QA) is a crucial step in the development of Extended Reality (XR) systems that typically follow iterative design and development cycles. Bringing automation to these testing procedures will increase the productivity of XR developers. However, given the complexity of the XR environments and the User Experience (UX) demands, achieving this is highly challenging. We propose to address this issue through the creation of autonomous cognitive test agents that will have the ability to cope with the complexity of the interaction space by intelligently explore the most prominent interactions given a test goal and support the assessment of affective properties of the UX by playing the role of users.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication2020 IEEE 13th International Conference on Software Testing, Verification and Validation: ICST 2020
Number of pages4
ISBN (Electronic)9781728157771
ISBN (Print)978-1-7281-5779-5
Publication statusPublished - Aug 2020
Event13th International Conference on Software Testing, Validation and Verification - Porto, Portugal
Duration: 24 Oct 202028 Oct 2020


Conference13th International Conference on Software Testing, Validation and Verification
Abbreviated titleICST 2020


  • AI-based testing
  • agent-based testing
  • testing computer game
  • testing virtual reality
  • user experience testing


Dive into the research topics of 'Agent-based Testing of Extended Reality Systems'. Together they form a unique fingerprint.

Cite this