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Keywords: Recommendation services
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Journal Articles
Journal of Hospitality and Tourism Technology (2023) 14 (3): 401–415.
Published: 07 March 2023
... light on the design of human-centered AI travel destination recommendation services. 研究目的 本研究旨在了解旅行者如何根据推荐的规模和他们的旅行参与度来评估从人工智能 (AI) 或人类旅行专家 (TE) 收到的旅行目的地推荐。 研究设计/方法/途径 本研究使用 2（代理类型：AI 与 TE）×2（推荐数量：小与大）×2（旅行参与：低与高）受试者间设计。 调查结果 当 AI 推荐目的地时, 参与度较低的旅行者认为推荐更可信, 并且当 AI 提供的建议比较小的建议大时信任系统。 同时, 当 TE...
