V-Museum: A Virtual Museum Based on Augmented and Virtual Realities for Cultural Heritage Mediation

KADRI, Mohammed; Khalloufi, Hamza; Azough, Ahmed

doi:10.1109/iscv49265.2020.9204253

Cited by 13 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The parameter highlights the need for the protection of historical sites and the enhancement of tourism involving Cultural and Heritage. The dimensions in this parameter include the development of virtual museums based on emerging technologies [139], building virtual reality systems to develop virtual tours in historical tourist attractions [140], using augmented reality smartphone applications to promote historical tourism [141], developing digital storytelling methods based on recommendation systems to improve the experience of tourists who come into contact with artistic and cultural heritage [142], and educating the next generation about the historical places by using video games [143]. For example, for virtual museums, Garlandini et al [144] illustrated how museums benefited from digital innovative technologies during the pandemic shutdown and attracted people efficiently in a safe and accessible way.…”

Section: Cultural and Heritage Tourismmentioning

confidence: 99%

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

2023

View full text Add to dashboard Cite

Global natural and manmade events are exposing the fragility of the tourism industry and its impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3% to the global GDP and employed 333 million people but saw a significant decline due to the pandemic. Sustainable and smart tourism requires collaboration from all stakeholders and a comprehensive understanding of global and local issues to drive responsible and innovative growth in the sector. This paper presents an approach for leveraging big data and deep learning to discover holistic, multi-perspective (e.g., local, cultural, national, and international), and objective information on a subject. Specifically, we develop a machine learning pipeline to extract parameters from the academic literature and public opinions on Twitter, providing a unique and comprehensive view of the industry from both academic and public perspectives. The academic-view dataset was created from the Scopus database and contains 156,759 research articles from 2000 to 2022, which were modelled to identify 33 distinct parameters in 4 categories: Tourism Types, Planning, Challenges, and Media and Technologies. A Twitter dataset of 485,813 tweets was collected over 18 months from March 2021 to August 2022 to showcase the public perception of tourism in Saudi Arabia, which was modelled to reveal 13 parameters categorized into two broader sets: Tourist Attractions and Tourism Services. The paper also presents a comprehensive knowledge structure and literature review of the tourism sector based on over 250 research articles. Discovering system parameters are required to embed autonomous capabilities in systems and for decision-making and problem-solving during system design and operations. The work presented in this paper has significant theoretical and practical implications in that it improves AI-based information discovery by extending the use of scientific literature, Twitter, and other sources for autonomous, holistic, dynamic optimizations of systems, promoting novel research in the tourism sector and contributing to the development of smart and sustainable societies.

show abstract

Section: Cultural and Heritage Tourismmentioning

confidence: 99%

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

2023

View full text Add to dashboard Cite

show abstract

“…The parameter highlights the need for the protection of historical sites and the enhancement of tourism involving Cultural and Heritage. The dimensions in this parameter include the development of virtual museums based on emerging technologies [127], building virtual reality systems to develop virtual tours in historical tourist attractions [128], and how to use augmented reality smartphone applications to promote historical tourism [129], developing digital storytelling methods based on recommendation systems to improve the experience of tourists who come into contact with artistic and cultural heritage [130], and educating the next generation about the historical places through using video games [131]. For example, for virtual museums, Garlandini et al [132] illustrated how museums benefited from digital innovative technologies during the pandemic shutdown and attracted people efficiently in a safe and accessible way.…”

Section: Cultural and Heritage Tourismmentioning

confidence: 99%

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Alsahafi¹,

Alzahrani²,

Mehmood³

2023

Preprint

View full text Add to dashboard Cite

The Global natural and manmade events are exposing the fragility of the tourism industry and its impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3% to the global GDP and employed 333 million people but saw a significant decline due to the pandemic. Sustainable and smart tourism requires collaboration from all stakeholders and a comprehensive understanding of global and local issues to drive responsible and innovative growth in the sector. This paper presents an approach for leveraging big data and deep learning to dis-cover holistic, multi-perspective (e.g., local, cultural, national, and international) and objective information on a subject. Specifically, we develop a machine learning pipeline to extract parameters from academic literature and public opinions on Twitter, providing a unique and comprehensive view of the industry from both academic and public perspectives. The academic-view dataset was created from the Scopus database and contains 156,759 research articles from 2000 to 2022, which were modelled to identify 33 distinct parameters in 4 categories: Tourism Types, Planning, Challenges, and Media &amp; Technologies. A Twitter dataset of 485,813 tweets was collected over 18 months starting March 2021 to August 2022 to showcase public perception of tourism in Saudi Arabia, which was modelled to reveal 13 parameters categorized into two broader sets: Tourist Attractions and Tourism Services. Discovering system parameters are re-quired to embed autonomous capabilities in systems and for decision-making and problem-solving during system design and operations. The proposed approach improves AI-based information discovery by extending the use of scientific literature, Twitter, and other sources for autonomous, dynamic optimizations of systems, promoting novel research in the tourism sector and contributing to the development of smart and sustainable societies. The paper also presents a comprehensive knowledge structure and literature review of the tourism sector based on over 250 research articles.

show abstract

“…Marker-based AR. [57] Implemented an AR prototype to drive tourists' curiosity in cultural heritage.…”

Section: [26]mentioning

confidence: 99%

Augmented Reality as an Option to Enhance the Tourism Experience - A Review

Allcca-Alarcón,

Calagua-Montoya,

Iparraguirre-Villanueva

et al. 2023

IJETT

View full text Add to dashboard Cite

Due to the Covid-19 situation, the tourism sector has faced several challenges to be able to gradually continue with its different activities related to the tourism experience. Therefore, the sector has had to reinvent itself to return to the tourism activity; from this context arises the need to explore various technologies and, within this, the different types of augmented reality (AR). This paper is a systematic review of the literature. The following databases were considered: IEEE Xplore, Springer Link, Scopus, and Science Direct. The PRISMA methodology was used to collect and synthesize information. As a result, the different contributions of AR were systematized, and the most used type of AR and the main factors that influence the improvement of the tourism experience with the support of an AR-oriented application have been rescued. Finally, a proposed model for establishing AR-related systems to provide a better tourism experience is presented.

show abstract

V-Museum: A Virtual Museum Based on Augmented and Virtual Realities for Cultural Heritage Mediation

Cited by 13 publications

References 8 publications

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Augmented Reality as an Option to Enhance the Tourism Experience - A Review

Contact Info

Product

Resources

About