Applications of Artificial Intelligence in Enhancing Tourist Experience: An Interdisciplinary Perspective

The integration of Artificial Intelligence (AI) into the tourism industry has fundamentally transformed how destinations, hotels, and service providers engage with travelers. This paper investigates the interdisciplinary applications of AI in enhancing tourist experiences through personalization, operational efficiency, and sustainability. By synthesizing recent literature and analyzing practical case studies, the research identifies key technological frameworks-such as machine learning-based recommendation systems, natural language processing, computer vision, and immersive technologies-that enable service providers to deliver hyper-personalized and immersive travel experiences. While AI offers significant benefits, including predictive analytics for demand forecasting, waste reduction, and real-time itinerary optimization, challenges such as algorithmic bias, data privacy, and the dissemination of inaccurate information persist. This study proposes a strategic framework for the responsible adoption of AI in tourism, emphasizing collaboration between technology developers, tourism managers, and policymakers to achieve innovation concerns, sustainable, and ethical.

کلیدواژه ها:

Artificial Intelligence ، Tourist Experience ، Personalization ، Sustainable Tourism ، Recommendation Systems ، Smart Tourism