Journal of Global Humanities and Social Sciences 2737-5374 2737-5382 BONI FUTURE DIGITAL PUBLISHING CO.,LIMITED https://ojs.bonfuturepress.com/index.php/GHSS/article/view/1932 6 7 2025 2025-12-25 User Experience and Employee Satisfaction Improvement Strategies for Multimodal AI Digital Humans Chao Hua,Sitian Wang,Ziai Wu 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. AI digital human,user experience,employee satisfaction,county level e-commerce,customer service collaboration 10.61360/BoniGHSS252019320710

Araujo, T., Helberger, N., Kruikemeier, S., & de Vreese, C. H. (2020). In AI we trust? Perceptions about automated decision-making by artificial intelligence. AI & Society, 35(3), 611–623. https://doi.org/10.1007/s00146-019-00931-w Bakker, A. B., & Demerouti, E. (2007). The Job Demands-Resources model: State of the art. Journal of Managerial Psychology, 22(3), 309-328. https://doi.org/10.1108/02683940710733115 Blau, P. M. (1964). Exchange and power in social life. New York: Wiley. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 Dello Russo, S., Zaniboni, S., Truxillo, D. M., Bertolino, M., & Fraccaroli, F. (2020). The effect of age on daily positive emotions and work behaviors. Work, Aging and Retirement, 6(2), 111–125. https://doi.org/10.1093/workar/waz026 Van De Voorde, K., & Beijer, S. (2015). The role of employee HR attributions in the relationship between high-performance work systems and employee outcomes. Human Resource Management Journal, 25(1), 62–78. https://doi.org/10.1111/1748-8583.12062 Venkatesh, V., Thong, J. Y., & Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead. Journal of the Association for Information Systems, 17(5), 328–376. https://doi.org/10.17705/1jais.00428 Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072