人工智能遗产旅游解说更能加深你的文化记忆吗?

IF 7.8 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM
Lei Wang , Wen-Qi Ruan , Yong-Quan Li
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引用次数: 0

摘要

遗产旅游解说对当地文化的展示和延续至关重要。然而,根据不同类型的口译内容选择合适的旅游口译员正在成为理论和实践的挑战。本研究通过三个实验探讨遗产旅游解说员(人工与人工智能)与解说内容(知识型与情感型)对游客文化记忆的一致性效应。结果表明:当人工口译员提供基于情感的口译内容时,游客的文化记忆显著增强,其中情感投入起中介作用。相反,当人工智能口译员呈现知识型口译内容时,游客的文化记忆也会增加,心理认知起着中介作用。本研究明确了不同旅游解说员(人类与人工智能)应用的合适语境,拓展了遗产旅游解说员研究的内容框架。研究结果为选择有效的口译策略提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is AI heritage tourism interpretations better at deepening your cultural memory?
Heritage tourism interpretation is essential in the display and continuity of local culture. However, selecting the appropriate tourism interpreters based on varying types of interpretation content is becoming a theoretical and practical challenge. This study used three experiments to investigate the congruence effect between heritage tourism interpreters (human vs. AI) and interpretation contents (knowledge vs. affection-based) on tourists’ cultural memory. The results indicate that tourists’ cultural memory is significantly enhanced when human interpreters deliver affection-based interpretation contents, with emotional engagement acting as the mediator. Conversely, when AI interpreters present knowledge-based interpretation contents, tourists’ cultural memory also increases, with mental cognition acting as the mediator. This research clarifies the appropriate contexts for the application of different tourism interpreters (human vs. AI), expands the content framework of heritage tourism interpretation research. The findings provide valuable insights for the selection of effective interpretation strategies.
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来源期刊
CiteScore
13.30
自引率
8.40%
发文量
177
审稿时长
45 days
期刊介绍: Journal Name: Journal of Hospitality and Tourism Management Affiliation: Official journal of CAUTHE (Council for Australasian Tourism and Hospitality Education Inc.) Scope: Broad range of topics including: Tourism and travel management Leisure and recreation studies Emerging field of event management Content: Contains both theoretical and applied research papers Encourages submission of results of collaborative research between academia and industry.
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