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Mobile AI Application Experience Metrics White Paper

2026-06-23 15:05:00| Source:

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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