基于Kano模型的即梦AI生成艺术用户满意度研究

韩伟

doi:10.70693/202610122647

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基于Kano模型的即梦AI生成艺术用户满意度研究

Research on User Satisfaction of Jimeng AI Generated Art Based on Kano Model

作者：韩伟

单位：淮北理工学院

基金项目：淮北理工学院2025年校级质量工程项目课题《商品拍摄与设计》（项目编号：2025xAIjy14）

卷期：2026年9-10月-2卷5期

通讯作者：韩伟

DOI：10.70693/202610122647

页码：239-245

发布时间：2026-10-27

总浏览量：205

摘要

AI 生成艺术平台发展迅速，但产品迭代常缺少精细化的用户需求支撑。本文以即梦 AI 为研究案例，运用 KANO 模型探究其用户满意度，通过访谈与观察梳理出五大维度 14 项用户需求，基于 241 份有效问卷，结合 Better‑Worse 与 EI 系数开展需求属性划分和优先级分析。研究发现该平台以 9 项期望属性需求为主体，含 3 项魅力属性、2 项无差异属性，无必备与反向属性；艺术风格是核心竞争要素，生成稳定性、修改效率构成体验底线，惊喜创作、人机共创有助于提升用户粘性。据此从核心功能保障、差异化艺术体验、深化人机共创、合理调配研发资源角度给出产品优化建议。研究拓展了 KANO 模型的应用场景，可为同类 AI 艺术产品迭代提供决策参考。

关键词

KANO 模型；即梦 AI；AI 生成艺术；用户满意度；用户需求

Abstract

AI-generated art platforms are developing rapidly, but product iteration often lacks refined support from user demands. Taking Jimeng AI as a case study, this paper uses the KANO model to explore user satisfaction. Through interviews and observations, 14 user demands across five dimensions are identified. Based on 241 valid questionnaires, the Better-Worse and EI coefficients are used to classify demand attributes and analyze priorities. The findings show that the platform is dominated by 9 expected attribute demands, including 3 attractive attributes and 2 indifferent attributes, with no must-be or reverse attributes. Artistic style is the core competitive factor, while generation stability and modification efficiency constitute the baseline of experience. Surprise creation and human-AI co-creation help enhance user stickiness. Accordingly, product optimization suggestions are provided from the perspectives of core function support, differentiated artistic experience, deepened human-AI co-creation, and rational allocation of R&D resources. This study expands the application scenarios of the KANO model and can provide decision-making references for the iteration of similar AI art products.

Keywords

KANO model; Jimeng AI; AI-generated art; user satisfaction; user demand

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引用本文

韩伟. 基于Kano模型的即梦AI生成艺术用户满意度研究[J]. 中国现代教育学报. 2026, 2 (5): 239-245. DOI: 10.70693/202610122647.

APA引用

韩伟. (2026). 基于Kano模型的即梦AI生成艺术用户满意度研究. 中国现代教育学报, 2 (5), 239-245. https://doi.org/10.70693/202610122647

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