In the context of national archaeological park construction, tourists’ cultural perception has an important impact on the formation of local identity. It is an important factor in the protection and development of the National Archaeological Site Park. The purpose of this paper is to understand the attitudes of visitors to the National Archaeological Site Park, and to analyze their cultural perception of archaeological site park. This paper uses network text mining method to explore cultural perception. The author took public comments on Ctrip as sample data, then, obtained high-frequency words through ROST Content Mining software, conducted network semantic and sentiment analysis. Through the discussion of the cultural perception and experience of tourists in National Archaeological Site Park, the author concluded that: 1. Tourists’ cultural perception of National Archaeological Site Park includes overall experience perception, cultural content perception and cultural form perception; 2. The cultural content of the National Archaeological Site Park shows a three-level structure of “core, transition, edge”; 3. Tourists show certain preferences in the content, form and means of experience in the archaeological site park. On this basis, the author proposed suggestions to improve visitor experience of archaeological site parks based on cultural perception.
Based on the Kano model, the personalized requirements of the smart helmet are obtained and analyzed. Focus groups and questionnaires were used to organize and analyze the individual needs of smart helmet users. The questionnaire was designed according to the Kano model, and the collected data results were classified and sorted according to the Kano evaluation table. Determine the desired and attractive needs of users for smart helmets; Based on user satisfaction, intelligent helmet products and corresponding mobile terminals are designed to provide design ideas for product innovation.
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