Pregled bibliografske jedinice broj: 1112687
You Drive Me Crazy! Interactive QoE Assessment for Telepresence Robot Control
You Drive Me Crazy! Interactive QoE Assessment for Telepresence Robot Control // Proceedings of the 12th International Conference on Quality of Multimedia Experience / - , 2020, 1-6
Athlone, Irska, 2020. str. 1-6 doi:10.1109/QoMEX48832.2020.9123117 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1112687 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
You Drive Me Crazy! Interactive QoE Assessment
for Telepresence Robot Control
Autori
Jahromi, Hamed ; Bartolec, Ivan ; Gamboa, Edwin ; Hines, Andrew ; Schatz, Raimund
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 12th International Conference on Quality of Multimedia Experience / - , 2020, 1-6
/ - , 2020, 1-6
Skup
Twelfth International Conference on Quality of Multimedia Experience (QoMEX)
Mjesto i datum
Athlone, Irska, 26.05.2020. - 28.05.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Telepresence Robotics ; Remote Navigation ; Subjective QoE Assessment ; Interactive QoE ; Network Impairments
Sažetak
Telepresence robots (TPRs) are versatile, remotely controlled vehicles that enable physical presence and human-to-human interaction over a distance. Thanks to improving hardware and dropping price points, TPRs enjoy the growing interest in various industries and application domains. Still, a satisfying experience remains key for their acceptance and successful adoption, not only in terms of enabling remote communication with others, but also in terms of managing robot mobility by means of remote navigation. This paper focuses on the latter aspect of remote operation which has been hitherto neglected. We present the results of an extensive subjective study designed to systematically assess remote navigation Quality of Experience (QoE) in the context of using a TPR live over the Internet. Participants were `beamed' into a remote office space and asked to perform characteristic TPR remote operation tasks (driving, turning, parking). Visual and control dimensions of their experience were systematically impaired by altering network characteristics (bandwidth, delay and packet loss rate) in a controlled fashion. Our results show that users can differentiate well between visual and navigation/control aspects of their experience. Furthermore, QoE impairment sensitivity varies with the actual task at hand.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2019-04-9793 - Modeliranje i praćenje iskustvene kvalitete imerzivnih višemedijskih usluga u 5G mrežama (Q-MERSIVE) (Skorin-Kapov, Lea, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Ivan Bartolec
(autor)