移动端生成式AI产品用户体验评估研究综述

祝潇扬; 王巍; 杨逸景; 杜乐

doi:10.19554/j.cnki.1001-3563.2025.24.009

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包装工程（设计栏目） ›› 2025, Vol. 46 ›› Issue (24) : 100-114. DOI: 10.19554/j.cnki.1001-3563.2025.24.009

工业设计

移动端生成式AI产品用户体验评估研究综述

祝潇扬¹, 王巍^1,2,3,*, 杨逸景¹, 杜乐⁴

作者信息 +

Review on User Experience Evaluation of Mobile Generative AI Products

ZHU Xiaoyang¹, WANG Wei^1,2,3,*, YANG Yijing¹, DU Le⁴

Author information +

文章历史 +

摘要

目的对移动端生成式AI用户体验评估的相关研究进行文献综述,以总结该领域的研究现状和不足,预见其发展趋势和优化路径,为构建系统的评估体系提供参考。方法运用文献调研法和内容分析法,从评估对象、评估方法和评估指标三个方面进行信息梳理与分析,评述现有研究存在的问题,并结合行业研究进展和相关领域文献洞察其发展趋势,展望未来可行的优化路径。结论现有的相关文献较少,在部分应用领域和模态上存在空白,且尚未建立起系统标准的评估框架和方法体系;随着人机交互形式的拓展、多模态转换的应用、开放域对话的兴起,移动端生成式AI用户体验评估将愈发复杂,需要综合使用各种经典评估方法,持续探索自动化评估,评估指标也将朝着精细化、多层次、多场景的方向发展;最后,展望面向未来颠覆性变革的AI系统的用户体验评估,指出未来与现在、系统层与应用层的矛盾,需要构建灵活、可扩展且适应性强的评估体系。

Abstract

The work aims to review the relevant research on user experience evaluation of mobile generative AI products, so as to summarize current research state and shortcomings in this field, forecast its development trends and optimization paths, and provide references for building a systematic evaluation system. Using literature research and content analysis methods, this study organized and analyzed information from three perspectives of evaluation objects, evaluation methods, and evaluation metrics. It critically reviewed the problems in existing research, explored development directions based on industry research progress and related literature, and prospected the feasible future optimization path. Current research in this area is relatively limited, with gaps in certain application domains and modalities, and systematic and standard evaluation frameworks and method systems have not been established. With the expansion of human-computer interaction forms, the application of multi-modal transformation, and the rise of open domain dialogue, the user experience evaluation of mobile generative AI products will become more complex, requiring the comprehensive use of various classical evaluation methods and continuous exploration of automated evaluation. The evaluation indicators will also develop in the direction of greater precision, multi-level structures, and multiple scenarios. Finally, looking forward to user experience evaluation systems for AI systems in future disruptive transformations, the study points out the contradiction between the future and the present, the system layer and the application layer. It is necessary to build a flexible, scalable and adaptable evaluation system.

导出引用1

祝潇扬, 王巍, 杨逸景, 杜乐. 移动端生成式AI产品用户体验评估研究综述[J]. 包装工程. 2025, 46(24): 100-114 https://doi.org/10.19554/j.cnki.1001-3563.2025.24.009

ZHU Xiaoyang, WANG Wei, YANG Yijing, DU Le. Review on User Experience Evaluation of Mobile Generative AI Products[J]. Packaging Engineering. 2025, 46(24): 100-114 https://doi.org/10.19554/j.cnki.1001-3563.2025.24.009

中图分类号： TB472 TP39G25

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