Assessing the Quality of Experience of Cloud Gaming Services

Preface
Acknowledgments
Contents
Acronyms
1 Introduction
	1.1 Motivation
	1.2 Scope
	1.3 Structure
	References
2 Quality Factors and Feature Space of Cloud Gaming Services
	2.1 Quality of Experience Research
	2.2 An Introduction to Cloud Gaming
		2.2.1 Components of a Cloud Gaming System
		2.2.2 Influencing Factors on Gaming QoE
	2.3 Gaming QoE Taxonomy for Cloud Gaming Services
		2.3.1 Game-related Quality Aspects
		2.3.2 Player Experience Aspects
	2.4 Summary
	References
3 Methods for Assessing Gaming QoE
	3.1 Overview of Assessment Methods
		3.1.1 Classification of Assessment Methods
			Behavioral Assessments
			Psycho-Physiological Assessments
			Subjective Assessments
			Comparison of Classified Assessment Methods
		3.1.2 Questionnaire-Based Assessment of Gaming QoE
		3.1.3 Methods Considered for Research Objectives
	3.2 Comparison of Interactive and Passive Test Paradigm (Study 3.2)
		3.2.1 Applied Methodology to Investigate the Test Paradigms
			Impact of Test Paradigm on Game-Related Quality Aspects
			Impact of Test Paradigm on Player Experience Aspects
			Impact of Player Performance during the Passive Test
			Discussion About Findings
	3.3 Designing Subjective Tests Measuring Gaming QoE
		3.3.1 Standardization Activities
		3.3.2 Test Design for ITU-T Rec. G.1072
			Scaling Method and Rating Scale
			Test Structure
			Test Setup
			Participant Requirements
			Participant Instructions
			Game Material Selection
			Parameters Under Investigation—Independent Variables
			Measured Quality Aspects—Dependent Variables
			Pre-test Questionnaire
			Post-game Questionnaire
			Post-condition Questionnaire
	3.4 Summary
	References
4 Passive Video Quality Assessment Using Lab and Remote Testing
	4.1 Passive Dataset for ITU-T Rec. G.1072
	4.2 Video Quality Dataset Using Remote Testing
	4.3 Comparison of Lab Studies and Remote Studies
	4.4 Comparison of Different Stimulus Durations
	4.5 Comparison Between Discrete and Continuous Rating Scales
	4.6 Summary
	References
5 Interactive Assessment of Gaming QoE Using Crowdsourcing
	5.1 Development of Crowdgaming Framework
	5.2 Testing the Crowdgaming Framework
		5.2.1 Experimental Design
		5.2.2 Demographic Information About Crowdworkers
		5.2.3 Data Cleansing
		5.2.4 Study Results
	5.3 Test Environment Comparison
		5.3.1 Data Collection
		5.3.2 Analysis
		5.3.3 Discussion
	5.4 Summary
	References
6 Development of the Gaming Input Quality Scale (GIPS)
	6.1 Item Generation
	6.2 Data Collection
	6.3 Item Screening
	6.4 Model Development
	6.5 Validation of GIPS
	6.6 Summary
	References
7 Impact and Classification of the Game Content
	7.1 Impact of Game Scenario (Study 7.1)
		7.1.1 Method
		7.1.2 Results
		7.1.3 Discussion
	7.2 Game Content Classification
		7.2.1 Method
		7.2.2 Encoding Complexity Classification
		7.2.3 Delay Sensitivity Classification
		7.2.4 Frame Loss Sensitivity Classification
		7.2.5 Discussion
	7.3 Summary
	References
8 Empirical Investigation of the Cloud Gaming Taxonomy
	8.1 Cloud Gaming Datasets
	8.2 Measurement Model of Cloud Gaming QoE
	8.3 Structural Model of Cloud Gaming QoE
	8.4 Opinion Model Predicting Gaming QoE
	8.5 Discussion
	8.6 Summary
	References
9 Conclusion and Outlook
	9.1 Summary
	9.2 Answers to Research Questions
	9.3 Contribution of Research
	9.4 Limitations and Future Work
	References
A Additional Material Related to Empirical Studies or Related Work
B Measurement Instruments Used to Assess Gaming QoE
C Additional Material Related to the GIPS
D Information About Used Games in Research
	References
Index