Bringing click-to-dial functionality to IPTV users [web services in telecommunications, part II]

Sedlar, Urban; Zebec, Luka; Bešter, J.; Kos, Andrej

doi:10.1109/mcom.2008.4463782

Cited by 10 publications

(1 citation statement)

References 3 publications

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“…BT.500-11 2002). The approaches providing an adequate QoE level in the NGN-based IPTV services are presented in (Volk et al 2008), the approaches providing adequate QoE level in the NGN-based Networked Virtual Reality (NVR) services are presented in (Skorin-Kapov and Matijasevic 2006), and the approaches providing adequate QoE level in the NGN-based Click-to-Dial IPTV service are presented in (Sedlar et al 2008). In the area of the WWW, QoE has also been referred to as end-to-end QoS or end-user-perceived QoS.…”

Section: Subjective Qoe Assessmentmentioning

confidence: 99%

Modeling the influence of network delay on the user experience in distributed home-automation networks

2010

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Today's modern home-automation systems and services (HASS) frequently communicate over public telecommunications networks, such as the Internet. Unfortunately, these communication networks do not usually provide sufficient quality (i.e., a predictable delay), which is generally assured in fieldbus HASS networks. Consequently, the user-perceived quality of experience (QoE) cannot be maintained at a satisfactory level when using different HASS devices communicating over an IP-based network. The data transferred over the Internet can experience a non-negligible delay that can have a considerable influence on the QoE. For this reason, the main goal of our research was to measure the influence of the network delay on a subjective QoE assessment, while interacting with some frequently used HASS tasks. The results show that users are satisfied if the delay is kept below 0.8 s, and that they can tolerate delays of over 2 s (depending on the level of the HASS task interactivity). Since such a user-perceived subjective QoE assessment is both time-consuming and expensive we also propose objective QoE assessment models to represent the influence of network delay on a subjective QoE assessment for various HASS tasks.

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Section: Subjective Qoe Assessmentmentioning

confidence: 99%