{"id":10180,"date":"2026-08-17T21:25:59","date_gmt":"2026-08-17T13:25:59","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=10180"},"modified":"2026-08-17T23:58:38","modified_gmt":"2026-08-17T15:58:38","slug":"jase-202611-34-049","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=jase-202611-34-049","title":{"rendered":"Digital empowerment of tourist attractions: Strengthening language service delivery"},"content":{"rendered":"\n
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<\/i> 2026<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 34<\/a><\/p>\n<\/div>\n\n\n\n

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Lin Mei1<\/sup><\/i><\/a> and Wangping Zou2<\/sup><\/p>\n\n\n\n

1<\/sup>School of Foreign Languages, Chizhou University, Chizhou 247000, China<\/p>\n\n\n\n

2<\/sup>Department of Electronic Information and Media, Chizhou Vocational and Technical College, Chizhou 247000, China<\/p>\n<\/div>\n\n\n\n

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Received: April 02, 2026
Accepted: July 10, 2026
Publication Date: August 17, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Staff Communication Challenges with Tourists. <\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation:\u00a0 BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202611_34.049<\/a>\u00a0\u00a0<\/p>\n\n\n\n

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This study examines how digital language support services improve communication, visitor interaction, and service quality at multilingual tourist attractions. A mixed-method approach was used, involving quantitative data from 200 respondents through structured questionnaires and qualitative insights from 30 participants using interviews and focus group discussions. Quantitative analysis included descriptive statistics, Cronbach\u2019s Alpha, Pearson correlation, and multiple regression, while qualitative data were analyzed through thematic coding and frequency mapping. The findings indicate moderate to high satisfaction with digital language services. Technology-related satisfaction recorded the highest mean score (3.14), whereas translation accuracy showed the lowest (3.01), suggesting a need for improvement. Correlation analysis revealed that language barriers negatively affect tourist satisfaction (r =-0.369), while effective digital language services positively influence satisfaction (r = 0.417). Regression analysis (R\u00b2 = 0.712) showed that usability is the strongest predictor of tourist satisfaction. The study emphasizes the importance of accurate, user-friendly, and context-aware digital language systems in multilingual tourism environments.<\/p>\n\n\n\n

Keywords: Digital Language Services; Tourist Satisfaction; Artificial Intelligence (AI); Language Barriers; Usability<\/em><\/p>\n\n\n\n

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