An Analysis of the Requirements for Smart Guiding Services in Museums Using the Kano-AHP Method

Jicai Wu, Yirui Hei, Yinyin Fan, Xinhai Zhou
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Abstract

: This study aims to enhance the visiting experience in museums by investigating visitor demands for a smart guiding service system. Through the utilization of semi-structured interviews and field observations, the research explores visitor needs comprehensively. The Kano model is employed to categorize the various requirements, and the hierarchical analysis approach (AHP) is used to determine attribute weights, ensuring a thorough evaluation. By creating a hierarchical structure model for the smart guiding service system in museums and obtaining a comprehensive weight ranking for each indicator, the study provides a solid foundation for the development of effective solutions. Based on the ranking, several proposals are generated, presenting actionable insights for the implementation of a smart guiding service system. The findings emphasize the value of the Kano-AHP model in analyzing visitor demands, offering valuable guidance for museums aiming to establish an efficient and user-centric smart guiding service system.
基于Kano-AHP方法的博物馆智能导览服务需求分析
本研究旨在透过调查参观者对智慧导赏服务系统的需求,提升博物馆的参观体验。本研究采用半结构式访谈和实地观察相结合的方法,对游客需求进行了全面的探索。采用Kano模型对各种需求进行分类,并采用层次分析法(AHP)确定属性权重,保证了评估的彻彻性。通过构建博物馆智能导赏服务系统的层次结构模型,得出各指标的综合权重排序,为制定有效的解决方案提供坚实的基础。基于排名,产生了几项建议,为智能导游服务系统的实施提供了可操作的见解。研究结果强调了Kano-AHP模型在分析游客需求方面的价值,为博物馆建立高效、以用户为中心的智能导览服务系统提供了有价值的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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