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Tourist experiences: a systematic literature review of computer vision technologies in smart destination visits

Abhijeet Panigrahy & Anil Verma

Journal of Tourism Futures2025https://doi.org/10.1108/jtf-04-2024-0073article
ABDC B
Weight
0.50

What the paper says

Purpose This study investigates the applications of computer vision (CV) technology in the tourism sector to predict visitors' facial and emotion detection, augmented reality (AR) visitor engagements, destination crowd management and sustainable tourism practices. Design/methodology/approach This study employed a systematic literature review, following the Preferred Reporting Items for Systematic reviews and Meta-Analyses methodology and bibliometric study on research articles related to the tourism sector. In total, 407 articles from the year, 2013 to 2024, all indexed in Scopus, were screened. However, only 150 relevant ones on CV in Tourism were selected based on the following criteria: academic journal publication, English language, empirical evidence provision and publication up to 2024. Findings The findings reveal a burgeoning interest in utilizing CV in tourism, highlighting its potential for crowd management and personalized experience. However, ethical concerns surrounding facial recognition and integration challenges need addressing. AR enhances engagement, but ethical and accessibility issues persist. Image processing aids sustainability efforts but requires precision and integration for effectiveness. Originality/value The study’s originality lies in its thorough examination of CV’s role in tourism, covering facial recognition, crowd insights, AR and image processing for sustainability. It addresses ethical concerns and proposes advancements for a more responsible and sustainable tourist experience, offering novel insights for industry development.

6 citations

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https://doi.org/https://doi.org/10.1108/jtf-04-2024-0073

Or copy a formatted citation

@article{abhijeet2025,
  title        = {{Tourist experiences: a systematic literature review of computer vision technologies in smart destination visits}},
  author       = {Abhijeet Panigrahy & Anil Verma},
  journal      = {Journal of Tourism Futures},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/jtf-04-2024-0073},
}

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Tourist experiences: a systematic literature review of computer vision technologies in smart destination visits

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.44 × 0.4 = 0.18
M · momentum0.65 × 0.15 = 0.10
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.