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Digital tourism interpretation content quality: A comparison between AI-generated content and professional-generated content
Tourism Management Perspectives ( IF 7.3 ) Pub Date : 2024-07-05 , DOI: 10.1016/j.tmp.2024.101279
Jiahua Jarrett Zhang , Ying Wendy Wang , Qian Ruan , Yang Yang

The emerging digital tourism interpretations give rise to a novel intermediary for delivering interpretation in the form of professional-generated content (PGC) or artificial intelligence-generated content (AIGC). The pressing inquiry is whether artificial intelligence can surpass professional interpreters in terms of interpretation content quality, and if so, which specific dimensions it excels in. This study used a mixed-method approach encompassing grounded theory and content analysis. Grounded research, based on a pioneering digital tourism interpretation platform in China, unveiled three dimensions of content quality in digital tourism interpretation: , , and . Furthermore, content analysis and ANOVA indicated that AIGC demonstrates comparatively lower levels of content quality than PGC across all three dimensions. These conclusions affirm that, regarding interpretation content quality, AI cannot replace human professional interpreters; however, considering AI's superior efficiency in generating interpretation content, the potential for human-machine collaboration in digital tourism interpretations is suggested.

中文翻译:


数字旅游解说内容质量:人工智能生成内容与专业生成内容的比较



新兴的数字旅游解说催生了一种新颖的中介,以专业生成内容(PGC)或人工智能生成内容(AIGC)的形式提供解说。迫切的问题是人工智能能否在口译内容质量方面超越专业口译员,如果可以,它在哪些具体维度上表现出色。本研究采用了扎根理论和内容分析相结合的混合方法。基于国内领先的数字旅游解说平台的扎根研究,揭示了数字旅游解说内容质量的三个维度: 、 、 。此外,内容分析和方差分析表明,AIGC 在所有三个维度上的内容质量水平均低于 PGC。这些结论肯定了,就口译内容质量而言,人工智能无法取代人类专业口译员;然而,考虑到人工智能在生成解说内容方面的卓越效率,人们提出了人机协作在数字旅游解说中的潜力。
更新日期:2024-07-05
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