Jiahua Jarrett Zhang , Ying Wendy Wang , Qian Ruan , Yang Yang
{"title":"数字旅游解说内容的质量:人工智能生成的内容与专业人员生成的内容之间的比较","authors":"Jiahua Jarrett Zhang , Ying Wendy Wang , Qian Ruan , Yang Yang","doi":"10.1016/j.tmp.2024.101279","DOIUrl":null,"url":null,"abstract":"<div><p>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: <em>informativeness</em>, <em>emotional appeal</em>, and <em>empathy</em>. 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.</p></div>","PeriodicalId":48141,"journal":{"name":"Tourism Management Perspectives","volume":"53 ","pages":"Article 101279"},"PeriodicalIF":7.3000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital tourism interpretation content quality: A comparison between AI-generated content and professional-generated content\",\"authors\":\"Jiahua Jarrett Zhang , Ying Wendy Wang , Qian Ruan , Yang Yang\",\"doi\":\"10.1016/j.tmp.2024.101279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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: <em>informativeness</em>, <em>emotional appeal</em>, and <em>empathy</em>. 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.</p></div>\",\"PeriodicalId\":48141,\"journal\":{\"name\":\"Tourism Management Perspectives\",\"volume\":\"53 \",\"pages\":\"Article 101279\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2024-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tourism Management Perspectives\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S221197362400062X\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HOSPITALITY, LEISURE, SPORT & TOURISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Management Perspectives","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221197362400062X","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
Digital tourism interpretation content quality: A comparison between AI-generated content and professional-generated content
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: informativeness, emotional appeal, and empathy. 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.
期刊介绍:
Tourism Management Perspectives is an interdisciplinary journal that focuses on the planning and management of travel and tourism. It covers topics such as tourist experiences, their consequences for communities, economies, and environments, the creation of image, the shaping of tourist experiences and perceptions, and the management of tourist organizations and destinations. The journal's editorial board consists of experienced international professionals and it shares the board with Tourism Management. The journal covers socio-cultural, technological, planning, and policy aspects of international, national, and regional tourism, as well as specific management studies. It encourages papers that introduce new research methods and critique existing ones in the context of tourism research. The journal publishes empirical research articles and high-quality review articles on important topics and emerging themes that enhance the theoretical and conceptual understanding of key areas within travel and tourism management.