Immersive Virtual Reality (IVR) is emerging as a valuable technology in the hospitality industry for offering interactive ways to enhance customer experience. AI-driven agents are also gaining traction as a promising solution for providing personalized assistance. Few studies have effectively evaluated the impact of these technologies on users within hotel services in a real-world application. This study addresses the impact of an AI-driven virtual agent that acts as a receptionist in the context of a hotel. Traditional hotel booking and information systems, such as static websites, may not effectively address specific user queries, especially when searching for detailed or context-specific information. To investigate this potential limitation, a user study was conducted to compare an AI-driven agent receptionist in an IVR environment and a traditional website interface as a baseline in terms of information retrieval, usability, and user feedback. The findings reveal promising results, indicating that the AI-driven receptionist is highly effective for information retrieval and is perceived as both interactive and engaging.

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Evaluating the Impact of an AI-Driven Virtual Agent for Hotel Customer Service

  • Roberto D’Amore,
  • Enricoandrea Laviola,
  • Alessandro Evangelista,
  • Antonio Emmanuele Uva

摘要

Immersive Virtual Reality (IVR) is emerging as a valuable technology in the hospitality industry for offering interactive ways to enhance customer experience. AI-driven agents are also gaining traction as a promising solution for providing personalized assistance. Few studies have effectively evaluated the impact of these technologies on users within hotel services in a real-world application. This study addresses the impact of an AI-driven virtual agent that acts as a receptionist in the context of a hotel. Traditional hotel booking and information systems, such as static websites, may not effectively address specific user queries, especially when searching for detailed or context-specific information. To investigate this potential limitation, a user study was conducted to compare an AI-driven agent receptionist in an IVR environment and a traditional website interface as a baseline in terms of information retrieval, usability, and user feedback. The findings reveal promising results, indicating that the AI-driven receptionist is highly effective for information retrieval and is perceived as both interactive and engaging.