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.


Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4193426", 
  "language": "eng", 
  "title": "Agent-based Testing of Extended Reality Systems", 
  "issued": {
    "date-parts": [
      [
        2020, 
        11, 
        2
      ]
    ]
  }, 
  "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 of affective properties of the UX by playing the role of users.</p>", 
  "author": [
    {
      "family": "Prada, Rui"
    }, 
    {
      "family": "Prasetya, Wishnu"
    }, 
    {
      "family": "Kifetew, Fitsum"
    }, 
    {
      "family": "Dignum, Frank"
    }, 
    {
      "family": "Vos, Tanja E. J."
    }, 
    {
      "family": "Lander, Jason"
    }, 
    {
      "family": "Donnart, Jean-yves"
    }, 
    {
      "family": "Kazmierowski, Alexandre"
    }, 
    {
      "family": "Davidson, Joseph"
    }, 
    {
      "family": "Fernandes, Pedro M."
    }
  ], 
  "id": "4193426", 
  "event-place": "Porto, Portugal (virtual)", 
  "type": "motion_picture", 
  "event": "IEEE International Conference on Software Testing, Verification and Validation (ICST)"
}
37
13
views
downloads
All versions This version
Views 3737
Downloads 1313
Data volume 1.5 GB1.5 GB
Unique views 3434
Unique downloads 1313

Share

Cite as