engleski

Survey of research on quality of experience modelling for web browsing

A significant amount of research has been pub- lished to date studying various measures and influence factors related to the user experience when browsing Web content on different devices. For the most part these studies come from two different communities: the Quality of Experience (QoE) community and the User Experience (UX) community, and span different disciplines. While the QoE community has primarily focused on technical aspects and subjective perception of waiting times, the UX community has been working on issues of acceptance, experience, and crucial design factors extensively for a long time. This paper aims to provide a survey of literature related to QoE modelling for Web browsing by addressing studies that deal with the impact of a wide set of system, context, and human influence factors. The survey shows that the QoE community has for the most part neglected relevant aspects studied by the UX community, which are needed for a more holistic understanding of Web QoE. On the other hand, UX studies may benefit from insights into research conducted in the QoE domain in terms of the impact of more technical factors on UX. Thus, by bridging these findings we argue the need for future multidisciplinary and multidimensional studies on Web QoE modelling, whose product, that is, multidimensional Web QoE models, are of interest to multiple stakeholders involved in the service delivery chain. Readers of this paper will benefit from a systematic analysis of surveyed papers, summary of key findings, and a discussion of open research topics that contribute to setting a research agenda in this domain.

web browsing ; survey ; quality of experience ; user experience ; modelling

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