Szczegóły publikacji
Opis bibliograficzny
Systematic QoE assessment of multi-user VR: task taxonomy, performance, and delay sensitivity / Norbert BARCZYK, Kamil KONIUCH, Mateusz OLSZEWSKI, Lucjan JANOWSKI // W: VRW 2026 [Dokument elektroniczny] : 2026 IEEE conference on Virtual Reality and 3D user interfaces abstracts and workshops : 21-25 March 2026, Daegu, Republic of Korea : proceedings. — Wersja do Windows. — Dane tekstowe. — Piscataway : The Institute of Electrical and Electronics Engineers, cop. 2026. — Dod. ISBN: 979-8-3195-0530-9 (print on demand). — e-ISBN: 979-8-3195-0529-3. — S. 468–474. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 474, Abstr. — Publikacja dostępna online od: 2026-05-01
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 167886 |
|---|---|
| Data dodania do BaDAP | 2026-06-30 |
| Tekst źródłowy | URL |
| DOI | 10.1109/VRW70859.2026.00090 |
| Rok publikacji | 2026 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | IEEE Conference on Virtual Reality and 3D User Interfaces 2026 |
Abstract
This paper proposes new cooperative tasks for subjective research in Virtual Reality (VR) and examines the hypothesis that perceived Quality of Experience (QoE) is affected differently by network conditions across various categories of cooperative tasks in VR. We conducted a study analyzing the impact of different network delays on multiple categories of collaborative tasks. The motivation for this research was the need to develop standardized tasks that can effectively evaluate user collaboration in immersive systems. These tasks should be easy to replicate, engaging, and should encourage active communication. The tasks were designed to provide precise control over task dynamics, allowing to isolate key aspects of collaboration. User performance was also evaluated. Our results indicate that different task categories exhibit varying levels of sensitivity to network delay. This research provides new insights into communication in immersive systems and contributes to the refinement of ITU-T Recommendations P.1301, P.1305, P.920, and G.1035.
