Paper Info
Title
Web-Browsing Qoe Estimation Model
Abstract
Web browsing services are expanding as smartphones are becoming increasingly popular worldwide. To provide customers with appropriate quality of web-browsing services, quality design and in-service quality management on the basis of quality of experience (QoE) is important. We propose a web-browsing QoE estimation model. The most important QoE factor for web-browsing is the waiting time for a web page to load. Next, the variation in the communication quality based on a mobile network should be considered. We developed a subjective quality assessment test to clarify QoE characteristics in terms of waiting time using 20 different types of web pages and constructed a web-page QoE estimation model. We then conducted a subjective quality assessment test of web-browsing to clarify the relationship between web-page QoE and web-browsing QoE for three web sites. We obtained the following two QoE characteristics. First, the main factor influencing web-browsing QoE is the average web-page QoE. Second, when web-page QoE variation occurs, a decrease in web-page QoE with a huge amplitude causes the web-browsing QoE to decrease. We used these characteristics in constructing our web-browsing QoE estimation model. The verification test results using non-training data indicate the accuracy of the model. We also show that our findings are applicable to web-browsing quality design and solving management issues on the basis of QoE.
Year
DOI
Venue
2017
10.1587/transcom.2016EBP3411
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
Field
DocType
QoE, waiting time, web page, web browsing, subjective quality assessment test, estimation model
World Wide Web,Web page,Computer science,Web navigation,Multimedia
Journal
Volume
Issue
ISSN
E100B
10
0916-8516
Citations 
PageRank 
References 
1
0.41
8
Authors
6
Name
Order
Citations
PageRank
Toshiko Tominaga110.41
Kanako Sato210.41
Noriko Yoshimura310.41
Masataka Masuda410.41
Hitoshi Aoki520.85
Takanori Hayashi614921.87