Video/Audio Open Access

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.

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 (117.0 MB)
Name Size
ICST2020_teaser.m4v
md5:592563cfb50aba6be4b52d536d65d03f
117.0 MB Download
42
15
views
downloads
All versions This version
Views 4242
Downloads 1515
Data volume 1.8 GB1.8 GB
Unique views 3939
Unique downloads 1515

Share

Cite as