User Experience and Employee Satisfaction Improvement Strategies for Multimodal AI Digital Humans

Authors

  • Chao Hua Chizhou University, China
  • Sitian Wang Chizhou University, China
  • Ziai Wu Chizhou University, China

DOI:

https://doi.org/10.61360/BoniGHSS252019320710

Keywords:

AI digital human, user experience, employee satisfaction, county level e-commerce, customer service collaboration

Abstract

This paper solves the problem of collaborative management of user experience and employee satisfaction caused by multimodal AI digital human anchors in county-level e-commerce live streaming. We construct a theoretical analysis framework centered on the technology acceptance model, social exchange theory, and job demand resource model, exploring how user experience affects employee satisfaction through two ways: job resources and job demand. From the analysis results, it can be concluded that the optimization of user experience needs to focus on both functional and emotional aspects. Through division of labor design optimization, construction of employee empowerment system, technology adaptation and other strategies, external experience and internal satisfaction can be jointly improved. Making technology truly useful for people not only improves efficiency, but also enhances employee satisfaction.

References

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Published

2025-12-25

Issue

Section

Research Article

How to Cite

User Experience and Employee Satisfaction Improvement Strategies for Multimodal AI Digital Humans. (2025). Journal of Global Humanities and Social Sciences, 6(7), 410-416. https://doi.org/10.61360/BoniGHSS252019320710

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