The concept of the metaverse has begun to redefine the entirety of the tourism experience by plunging the user in a 3D virtual environment. It is safe to say that the metaverse is a three-dimensional virtual universe inside which a user can freely navigate. The metaverse is composed of a multitude of interconnected assets, such as realistic environments, animated objects as well as Artificial Intelligence (AI) beings and human-controlled avatars. In simple terms, the metaverse includes a multitude of experiences that are innovative and remain unrestricted in nature. In the context of this paper, it is of interest to reflect on how AI in general and Machine Learning (ML) algorithms in particular will assist in tailoring the tourism experience in the metaverse. The primary aspect fueling this conception is the analysis of user behavior, preferred choices, and the data generated through interactivity. Highly effective recommendation algorithms can suggest experiences and activities that meet the requests and needs of every single user. Furthermore, the technological capability of Natural Language Processing (NLP) enables a smoother interaction experience. People can effectively ask questions, request tips, or communicate with animated virtual guides. All these activities enable a better integrated experience for the visitors. In order to improve this personalization, techniques like AI and data augmentation are of paramount necessity. These methods help in increasing the efficiency of the plethora of recommendations provided to the users and also aid in enhancing the virtual space by creating content driven by the newest trends and the feedback that was received. The goal of these techniques is to convert the metaverse into the ultimate tool for smart, engaging, and sustainable tourism. The desired outputs are expected to serve the unique needs of users while still marketing and protecting intangible and physical resources in digital spaces.

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Artificial Intelligence and Personalized Tourism Experiences in the Metaverse

  • Naoual Nassiri,
  • Ayoub Jibouni,
  • Sahar Saoud,
  • Zouhir Mahani

摘要

The concept of the metaverse has begun to redefine the entirety of the tourism experience by plunging the user in a 3D virtual environment. It is safe to say that the metaverse is a three-dimensional virtual universe inside which a user can freely navigate. The metaverse is composed of a multitude of interconnected assets, such as realistic environments, animated objects as well as Artificial Intelligence (AI) beings and human-controlled avatars. In simple terms, the metaverse includes a multitude of experiences that are innovative and remain unrestricted in nature. In the context of this paper, it is of interest to reflect on how AI in general and Machine Learning (ML) algorithms in particular will assist in tailoring the tourism experience in the metaverse. The primary aspect fueling this conception is the analysis of user behavior, preferred choices, and the data generated through interactivity. Highly effective recommendation algorithms can suggest experiences and activities that meet the requests and needs of every single user. Furthermore, the technological capability of Natural Language Processing (NLP) enables a smoother interaction experience. People can effectively ask questions, request tips, or communicate with animated virtual guides. All these activities enable a better integrated experience for the visitors. In order to improve this personalization, techniques like AI and data augmentation are of paramount necessity. These methods help in increasing the efficiency of the plethora of recommendations provided to the users and also aid in enhancing the virtual space by creating content driven by the newest trends and the feedback that was received. The goal of these techniques is to convert the metaverse into the ultimate tool for smart, engaging, and sustainable tourism. The desired outputs are expected to serve the unique needs of users while still marketing and protecting intangible and physical resources in digital spaces.