Mobile AI Application Experience Metrics White Paper
Contents
Chapter 1: Research Background and Industry Status 2
1.1 Mobile AI Industry Development Trends 3
1.2 Industry Status and Core Challenges 6
1.3 Research Objectives and Industry Value 7
Chapter 2: Framework for Evaluating Mobile AI Application Experience 8
2.1 Research Scope 9
2.2 Hierarchical Architecture for Experience Evaluation 10
2.3 Indicator Definition and Mapping 13
Chapter 3: Mobile AI Experience Quality Assessment Methods 16
3.1 Overall Methodology and Model Application Scope 17
3.2 Experiment Scheme and Scenario Library 21
3.3 User Pre-experiment Case 23
3.4 Mathematical Formulation of the Assessment Model 23
3.5 Application Value of the Assessment Model 24
3.6 Illustrative Service Profiles 25
Chapter 4: Service Experience Assessment and Network Capability Mapping 26
4.1 E2E Service Capability Matrix 27
4.2 Network-Side NQI Construction 29
4.3 E2E Experience Assurance Enabled by Device-Network Coordination 30
Chapter 5: Future Outlook and Path Planning 32
5.1 Technology Evolution Path: From Current Assessment to 6G Standardization Inputs 33
5.2 Industry Call to Action: Building a Unified Experience Benchmark and a Collaborative Mobile AI Ecosystem 33
List of Abbreviations and Symbols 35
Acknowledgements 37
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