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Analysis of Image Perception and Influencing Factors Based on Online Reviews: Take Kaiping Watchtowers and Villages of China as an Example

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Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design (HCII 2022)

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Abstract

With the arrival of the era of big data, text databases provide new ideas for the study of rural tourism destination image perception. The article takes Ctrip.com and other Chinese tourism websites and uses content analysis and grounded theory research methods to analyze the original paper, withdraws high-frequency characteristic words of Kaiping watchtower, explores tourists’ overall image perception and emotional evaluation. The results showed that: (1) “watchtower” “Kaiping” and “architecture” are the basic cognition of the tourist image of Kaiping watchtower, the specific cognition of watchtowers can be subdivided into four aspects of architectural image, artistic atmosphere, architectural function and human history; (2) Visitors to the overall image shows the layout of the watchtowers, architectural decoration, the history of overseas Chinese deep into the core circle of divergent characteristics and the tourist environment, local food, Chinese and Western culture as the edge of the distribution characteristics of the circle; (3) Visitors’ emotional expression is dominated by positive positive emotions, followed by neutral and least negative; (4) the main factors affecting the expression of tourists’ negative emotions are the scenic area management factor, the Chinese historical factor, the architectural property factor and the human environment factor.

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Authors and Affiliations

  1. Shouzhan New District, Fuzhou University of International Studies and Trade, No. 28 Yuhuan Road, Changle, 350202, Fujian, China

    Xi Xu

  2. Khon Kaen University, 123 Mittraphap Road, Khon Kaen, 40002, Thailand

    Xi Xu

  3. College of Tourism, Huaqiao University, No. 269 Chenghua North Road, Quanzhou, 362021, China

    Hai Lin

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  1. Xi Xu
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  2. Hai Lin
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Correspondence to Hai Lin .

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Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Pei-Luen Patrick Rau

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Xu, X., Lin, H. (2022). Analysis of Image Perception and Influencing Factors Based on Online Reviews: Take Kaiping Watchtowers and Villages of China as an Example. In: Rau, PL.P. (eds) Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design. HCII 2022. Lecture Notes in Computer Science, vol 13314. Springer, Cham. https://doi.org/10.1007/978-3-031-06053-3_30

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  • DOI: https://doi.org/10.1007/978-3-031-06053-3_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06052-6

  • Online ISBN: 978-3-031-06053-3

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