Title
A probabilistic context-aware approach for quality of experience measurement in pervasive systems
Abstract
In this paper, we develop a novel context-aware approach for quality of experience (QoE) modeling, reasoning and inferencing in mobile and pervasive computing environments. The proposed model is based upon a state-space approach and Bayesian networks for QoE modeling and reasoning. We further extend this context model to incorporate influence diagrams for efficient QoE inferencing. Our approach accommodates user, device and quality of service (QoS) related context parameters to determine the overall QoE of the user. This helps in user-related media, network and device adaptation. We perform experimentation to validate the proposed approach and the results verify its modeling and inferencing capabilities.
Year
DOI
Venue
2011
10.1145/1982185.1982276
SAC
Keywords
Field
DocType
qoe modeling,overall qoe,pervasive system,device adaptation,state-space approach,experience measurement,inferencing capability,approach accommodates user,context model,efficient qoe inferencing,probabilistic context-aware approach,novel context-aware approach,influence diagram,pervasive computing,quality of service,bayesian networks,influence diagrams,state space,bayesian network
Data mining,Computer science,Quality of service,Context model,Context awareness,Bayesian network,Influence diagram,Human–computer interaction,Quality of experience,Probabilistic logic,Ubiquitous computing
Conference
Citations 
PageRank 
References 
4
0.41
3
Authors
3
Name
Order
Citations
PageRank
Karan Mitra116917.84
Arkady Zaslavsky2113381.03
Christer Åhlund321527.85