Implementing Augmented reality in Tourism

Cibilić, Iva; Poslončec-Petrić, Vesna; Tominić, Kristina

doi:10.5194/ica-proc-4-21-2021

Cited by 6 publications

(2 citation statements)

References 6 publications

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“…[85] presented two location-based AR systems that employed both smartphones and smart glasses, enabling users to access audio and visual information when arriving at a point of interest. Handheld 39 [28,43,45,[48][49][50][51][53][54][55]58,59,[61][62][63][64][65]67,68,[71][72][73][74][75][76][79][80][81]83,84,[86][87][88][89][90][93][94][95][96] 2 [35,60] 0 0 0 8 [44,46,52,69,70,77,85,92] HMD 3…”

Section: Links Between Ar Devices and Virtual Contentmentioning

confidence: 99%

From Earlier Exploration to Advanced Applications: Bibliometric and Systematic Review of Augmented Reality in the Tourism Industry (2002–2022)

Zaifri

Khalloufi

Kaghat

et al. 2023

MTI

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Augmented reality has emerged as a transformative technology, with the potential to revolutionize the tourism industry. Nonetheless, there is a scarcity of studies tracing the progression of AR and its application in tourism, from early exploration to recent advancements. This study aims to provide a comprehensive overview of the evolution, contexts, and design elements of AR in tourism over the period (2002–2022), offering insights for further progress in this domain. Employing a dual-method approach, a bibliometric analysis was conducted on 861 articles collected from the Scopus and Web of Science databases, to investigate the evolution of AR research over time and across countries, and to identify the main contexts of the utilization of AR in tourism. In the second part of our study, a systematic content analysis was conducted, focusing on a subset of 57 selected studies that specifically employed AR systems in various tourism situations. Through this analysis, the most commonly utilized AR design components, such as tracking systems, AR devices, tourism settings, and virtual content were summarized. Furthermore, we explored how these components were integrated to enhance the overall tourism experience. The findings reveal a growing trend in research production, led by Europe and Asia. Key contexts of AR applications in tourism encompass cultural heritage, mobile AR, and smart tourism, with emerging topics such as artificial intelligence (AI), big data, and COVID-19. Frequently used AR design components comprise mobile devices, marker-less tracking systems, outdoor environments, and visual overlays. Future research could involve optimizing AR experiences for users with disabilities, supporting multicultural experiences, integrating AI with big data, fostering sustainability, and remote virtual tourism. This study contributes to the ongoing discourse on the role of AR in shaping the future of tourism in the post COVID-19 era, by providing valuable insights for researchers, practitioners, and policymakers in the tourism industry.

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Section: Links Between Ar Devices and Virtual Contentmentioning

confidence: 99%

From Earlier Exploration to Advanced Applications: Bibliometric and Systematic Review of Augmented Reality in the Tourism Industry (2002–2022)

Zaifri

Khalloufi

Kaghat

et al. 2023

MTI

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“…Tourism a vital tool for the world's economy, jobs creation and fostering cultural exchange. It brings in revenue through activities like accommodation, transportation, and entertainment [1], [2]. Additionally, tourism promotes understanding between different cultures and helps preserve historical sites.…”

Section: Introductionmentioning

confidence: 99%

Revolutionization of augmented reality in tourism via deep learning

Essa,

Chaturvedi,

Khurana

2024

IJEECS

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Tourism has become an integral part of social and economic development across the globe. It does not only serve as a recreational activity but also as a source of revenue for the nation. The paper systematically explores the potential enhancements in the tourist experience through cutting-edge technology. Employing deep learning methods, the study specifically concentrates on refining augmented reality encounters for visitors. The proposed approach utilizes deep learning algorithms to optimize and tailor tourists’ augmented reality experiences, addressing current sectoral challenges like customization and engagement shortcomings. The methodology’s selection is predicated on it is capability to elevate user experience, accurately identify objects, offer visual guided tours, integrate historical context, and ultimately propel augmented reality adoption in tourism. Notably, the investigation culminates in a noteworthy average accuracy of 99% when incorporating deep learning to enhance augmented reality in tourism.

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