The increasing interest in technologies such as Metaverse, Augmented Reality (AR), and Artificial Intelligence (AI) opens up numerous possibilities that have the potential to shape our daily experiences in the future. We investigated how integrating today’s popular chatbots and multisensory AR technologies can create personalized museum visiting experiences. The paper outlines the concept of a digital assistant-based application for museum visits. The visitor, equipped with AR technology, can ask questions about the exhibits and receive precise and contextually relevant answers from the digital assistant who can virtually appear as an avatar with accompanying multimedia AR information. In the paper, we describe the implementation of a prototype of the application.

A personalized expert guide for the hybrid museums of the future

SPADONI, Elena;GIUSSANI, Riccardo;CARULLI, Marina;DOZIO, Nicolò;FERRISE, Francesco;BORDEGONI, Monica
2023-01-01

Abstract

The increasing interest in technologies such as Metaverse, Augmented Reality (AR), and Artificial Intelligence (AI) opens up numerous possibilities that have the potential to shape our daily experiences in the future. We investigated how integrating today’s popular chatbots and multisensory AR technologies can create personalized museum visiting experiences. The paper outlines the concept of a digital assistant-based application for museum visits. The visitor, equipped with AR technology, can ask questions about the exhibits and receive precise and contextually relevant answers from the digital assistant who can virtually appear as an avatar with accompanying multimedia AR information. In the paper, we describe the implementation of a prototype of the application.
2023
Design Tools and Methods in Industrial Engineering III - Proceedings of the Third International Conference on
File in questo prodotto:
File Dimensione Formato  
ADM_Springer_Chatbot_Spadoni.pdf

Accesso riservato

Descrizione: preprint
: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 4.93 MB
Formato Adobe PDF
4.93 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1249837
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact