publication . Conference object . 2020

IV4XR- Intelligent Verification/Validation for Extended Reality Based Systems

Prasetya, Wishnu; Prada, Rui; Vos, Tanja E. J.; Kifetew, Fitsum; Dignum, Frank; Lander, Jason; Donnart, Jean-yves; Kazmierowski, Alexandre; Davidson, Joseph; Pastor Ricos, Fernando;
Open Access
  • Published: 22 Sep 2020
  • Publisher: Zenodo
Abstract
“Extended Reality” (XR) systems are advanced interactive systems such as Vir tual Reality (VR) and Augmented Reality (AR) systems. They have emerged in various domains, ranging from entertainment, cultural heritage, to combat train ing and mission critical applications. As the complexity of these systems keeps increasing, testing is getting more complex too. Current toolsets do no propose XR testing technology beyond rudimentary record and replay tools that only work for simple test scenarios. The following challenges need to be addressed: 1) Fine-grained interaction space. and 2) Assessing user experience (UX).
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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Open Access
Zenodo
Conference object . 2020
Provider: Datacite
Open Access
Zenodo
Conference object . 2020
Provider: Datacite
Open Access
ZENODO
Conference object . 2020
Provider: ZENODO
Open Access
OpenAIRE
Conference object
Provider: OpenAIRE
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