图书馆杂志

图书馆杂志 ›› 2024, Vol. 43 ›› Issue (401): 95-105.

• 数字人文 • 上一篇    下一篇

基于Kano 模型的文化遗产数字化服务平台功能需求与服务优化研究

洪闯 李风雪(湘潭大学公共管理学院)   

  • 出版日期:2024-09-15 发布日期:2024-09-26
  • 作者简介:洪 闯 湘潭大学公共管理学院,讲师,博士,硕士生导师。研究方向:文化遗产数字化。作者贡献:论文选题、研究框架设计、审阅与修改。E-mail:exybean@126.com 湖南湘潭 411105 李风雪 湘潭大学公共管理学院,硕士研究生。研究方向:文化遗产数字化。作者贡献:数据收集与分析、论文撰写及修改。 湖南湘潭 411105

Research on Functional Requirements and ServiceOptimization of Cultural Heritage Digitalization ServicePlatform Based on Kano Model

Hong Chuang, Li Fengxue (School of Public Administration, Xiangtan University)   

  • Online:2024-09-15 Published:2024-09-26
  • About author:Hong Chuang, Li Fengxue (School of Public Administration, Xiangtan University)

摘要:

从用户需求角度厘清文化遗产数字化服务平台功能需求并探究其层次结构与优化策略,对于助力文化遗产保护与传承、提升文化遗产数字化服务平台的服务效能具有重要的理论意义及实践指导价值。综合使用文献调研、半结构访谈和专家咨询方法识别确立了24 项文化遗产数字化服务平台服务功能项目并设计问卷搜集数据,基于传统Kano 分类、混合类分析和Better-Worse 系数分析3 个维度对平台功能需求进行分类。研究发现文化遗产数字化服务平台的功能需求具有层次化特征,涵盖6 项必备型需求、9 项魅力型需求、4 项期望型需求以及5 项无差异型需求,为此须根据不同需求类型优化文化遗产数字化服务内容,提升平台的吸引力、共情度和用户体验。

Abstract:

From the perspective of user needs, this paper clarifies the function requirements of thecultural heritage digital service platforms and explores their hierarchy and optimization strategies. Theresearch holds significant theoretical and practical value for advancing the protection and preservation ofcultural heritage while improving the service efficiency of these platforms. Utilizing literature research,semi-structured interviews, and expert consultations, the study identifies and establishes 24 servicefunction items for cultural heritage digital service platforms. Data collection was carried out throughquestionnaires. The study classifies the functional requirements into three dimensions: traditional Kanoclassification, mixed-class analysis, and Better-Worse coefficient analysis. The findings reveal that thesefunctional requirements are hierarchical, comprising 6 essential needs, 9 attractive needs, 4 expectedneeds, and 5 undifferentiated needs. Therefore, the paper suggests optimizing the content of culturalheritage digitization service according to different demand types, aiming to enhance the platform’sattractiveness, empathy, and user experience.