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智慧旅游背景下人机交互体验对游客忠诚度的影响探究——以苏州博物馆为例

Exploring the Influence of Human-Computer Interaction Experience on Tourist Loyalty in the Context of Smart Tourism: A Case Study of Suzhou Museum.

作者信息

Xue Ke, Jin Xuanyu, Li Yifei

机构信息

USC-SJTU Institute of Cultural and Creative Industry, Shanghai 200240, China.

School of Media & Communication, Shanghai Jiao Tong University, Shanghai 200240, China.

出版信息

Behav Sci (Basel). 2025 Jul 14;15(7):949. doi: 10.3390/bs15070949.

DOI:10.3390/bs15070949
PMID:40723733
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12292524/
Abstract

As digital technology evolves rapidly, smart tourism has become a significant trend in the modernization of the industry, relying on advanced tools like big data and cloud computing to improve travelers' experiences. Despite the growing use of human-computer interaction in museums, there remains a lack of in-depth academic investigation into its impact on visitors' behavioral intentions regarding museum engagement. This paper employs Cognitive Appraisal Theory, considers human-computer interaction experience as the independent variable, and introduces destination image and satisfaction as mediators to examine their impact on destination loyalty. Based on a survey of 537 participants, the research shows that human-computer interaction experience has a significant positive impact on destination image, satisfaction, and loyalty. Destination image and satisfaction play a partial and sequential mediating role in this relationship. This paper explores the influence mechanism of human-computer interaction experience on destination loyalty and proposes practical interactive solutions for museums, aiming to offer insights for smart tourism research and practice.

摘要

随着数字技术的迅速发展,智慧旅游已成为该行业现代化的一个重要趋势,它依靠大数据和云计算等先进工具来提升游客体验。尽管人机交互在博物馆中的应用日益广泛,但对于其对游客博物馆参与行为意图的影响,仍缺乏深入的学术研究。本文运用认知评价理论,将人机交互体验作为自变量,并引入目的地形象和满意度作为中介变量,以考察它们对目的地忠诚度的影响。基于对537名参与者的调查,研究表明人机交互体验对目的地形象、满意度和忠诚度有显著的正向影响。目的地形象和满意度在这种关系中起部分且依次的中介作用。本文探讨了人机交互体验对目的地忠诚度的影响机制,并为博物馆提出了切实可行的交互解决方案,旨在为智慧旅游研究与实践提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3492/12292524/93773ba941e2/behavsci-15-00949-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3492/12292524/f0ed58393a1e/behavsci-15-00949-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3492/12292524/93773ba941e2/behavsci-15-00949-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3492/12292524/f0ed58393a1e/behavsci-15-00949-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3492/12292524/93773ba941e2/behavsci-15-00949-g002.jpg

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PLoS One. 2022 Sep 13;17(9):e0273968. doi: 10.1371/journal.pone.0273968. eCollection 2022.
2
Power and decision making: new directions for research in the age of artificial intelligence.权力与决策:人工智能时代研究的新方向。
Curr Opin Psychol. 2020 Jun;33:172-176. doi: 10.1016/j.copsyc.2019.07.039. Epub 2019 Aug 1.