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ExhibitXplorer

Enabling Personalized Content Delivery in Museums Using Contextual Geofencing and Artificial Intelligence

Bibliographic Data

ID22033984
AuthorsRosen Ivanov (0000-0002-0573-4316, Technical University of Gabrovo, corresponding author)
Year2023
Volume12
Issue10
Pages434
Publication date2023-10-22
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi12100434
OpenAlexW4387879591
LanguageEN
Citations received2
References cited38

In recent years, there has been an increasing demand for personalized experiences in various domains, including the cultural and educational sectors. Museums, as custodians of art, history, and scientific knowledge, are seeking innovative ways to engage their visitors and provide tailored content that enhances their understanding and appreciation of the exhibits. This article presents ExhibitXplorer, a distributed architecture service that leverages geofencing, artificial intelligence, and microservices to enable personalized content delivery in museums. By combining implicit and explicit segmentation of museum visitors and utilizing the GPT API for content generation, ExhibitXplorer offers a dynamic experience to different visitor segments, including researchers, students, casual visitors, and children. The system utilizes push notifications triggered by visitor location changes, allowing seamless delivery of personalized information both indoors and outdoors. Tests were conducted to evaluate the user experience of visitors to an outdoor ethnographic museum. The results showed that 55% of the test participants were satisfied and 45% very satisfied with the way personalized content was delivered

Business · Casual · Crowdsourcing · Cultural heritage · Custodians · Multimedia · Visitor pattern · World Wide Web · Advanced Image and Video Retrieval Techniques · Augmented Reality Applications · Computer Science · Video Analysis and Summarization

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Unique citing works2
Citations per year2
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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