Szczegóły publikacji
Opis bibliograficzny
Factors influencing video Quality of Experience: measurements and theoretical model / Kamil KONIUCH // W: IMX 2022 [Dokument elektroniczny] : doctoral consortium – ACM international conference on Interactive Media Experiences : Aveiro, Portugal, June 22–24, 2022. — Wersja do Windows. — Dane tekstowe. — New York : Association for Computing Machinery, 2022. — e-ISBN: 978-1-4503-9212-9. — S. 27–32. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 31–32, Abstr.
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 141625 |
|---|---|
| Data dodania do BaDAP | 2022-09-16 |
| Tekst źródłowy | URL |
| Rok publikacji | 2022 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Creative Commons | |
| Wydawca | Association for Computing Machinery (ACM) |
Abstract
Over the last decade, user subjective perception attracted interest in video quality studies. Researchers infer about the Quality of Experience (QoE) based on participants’ statements, behaviors, and psychophysiological reactions. This is because an objective evaluation of QoE is impossible due to its subjective nature. Thus, clear operationalization of variables in QoE studies is crucial. For that purpose theoretical background is necessary. Current descriptive models of QoE consist of many strongly correlated variables and omit the role of essential factors such as content. In my Ph.D., I investigate factors influencing QoE which are important from the perspective of the user. To be able to conclude about those multiple, complex variables I am working on a new video QoE model inspirited by Structural Causal Models. This model help to generate hypotheses and operationalize variables. It also could be used to design statistical analyses for complex datasets.
