research data . Dataset . Audiovisual . 2020

Agent-based Testing of Extended Reality Systems

Prada, Rui; Prasetya, Wishnu; Kifetew, Fitsum; Dignum, Frank; Vos, Tanja E. J.; Lander, Jason; Donnart, Jean-yves; Kazmierowski, Alexandre; Davidson, Joseph; Fernandes, Pedro M.;
Open Access English
  • Published: 02 Nov 2020
  • Publisher: Zenodo
Abstract
<p>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 o...
Subjects
free text keywords: agent-based testing, AI-based testing, testing computer game, testing virtual reality, user experience testing
Funded by
EC| iv4XR
Project
iv4XR
Intelligent Verification/Validation for Extended Reality Based Systems
  • Funder: European Commission (EC)
  • Project Code: 856716
  • Funding stream: H2020 | RIA
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Zenodo
Audiovisual . 2020
Provider: Datacite
Zenodo
Audiovisual . 2020
Provider: Datacite
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