10.5281/zenodo.4193426
https://zenodo.org/records/4193426
oai:zenodo.org:4193426
Prada, Rui
Rui
Prada
INESC-ID and Instituto Superior Tècnico, Univ. de Lisboa, Portugal
Prasetya, Wishnu
Wishnu
Prasetya
0000-0002-3421-4635
Utrecht Univ, Netherlands
Kifetew, Fitsum
Fitsum
Kifetew
0000-0003-1860-8666
Fondazione Bruno Kessler
Dignum, Frank
Frank
Dignum
Umea Univ, Sweden
Vos, Tanja E. J.
Tanja E. J.
Vos
Univ. Politecnica de Valencia, Spain
Lander, Jason
Jason
Lander
Gameware, UK
Donnart, Jean-yves
Jean-yves
Donnart
Thales AVS, France
Kazmierowski, Alexandre
Alexandre
Kazmierowski
Thales SIX GTS, France
Davidson, Joseph
Joseph
Davidson
GoodAI, Czech Rep.
Fernandes, Pedro M.
Pedro M.
Fernandes
INESC-ID and Instituto Superior Tècnico, Univ. de Lisboa, Portugal
Agent-based Testing of Extended Reality Systems
Zenodo
2020
agent-based testing
AI-based testing
testing computer game
testing virtual reality
user experience testing
2020-11-02
eng
10.5281/zenodo.4193425
https://zenodo.org/communities/iv4xr-project
Creative Commons Attribution 4.0 International
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.