Poster Open Access

Agent-based Testing of Extended Reality Systems (Poster)

Prada, Rui; Prasetya, Wishnu; Kifetew, Fitsum; Dignum, Frank; Vos, Tanja E. J.; Lander, Jason; Donnart, Jean-yves; Kazmierowski, Alexandre; Davidson, Joseph; Fernandes, Pedro M.

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.

Files (20.8 MB)
Name Size
ICST2020_IV4XR_poster.pdf
md5:fca38cf6f17d35f8d959671bdbe7256e
20.8 MB Download
7
4
views
downloads
All versions This version
Views 77
Downloads 44
Data volume 83.1 MB83.1 MB
Unique views 55
Unique downloads 33

Share

Cite as