Tourism AI | Tourism Intelligence Lab

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Tourism Intelligence Lab

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AI Development

Our lab designs, builds, trains, and deploys cutting-edge AI systems that transform large-scale tourism data into actionable insights

Deep learning to segment first-time and repeat travelers:

Analyzing GPS data (2025)

Utilization of GPS Trajectory Data and Deep Learning (CNN) Technologies
Proving that tourist mobility itself can be a critical criterion for market segmentation

AI Experiences

Our lab applies advanced AI techniques to real-world tourism contexts, developing innovative solutions to address complex industry challenges

Unveiling the persuasive power of cuteness in AI-driven environmental communication: A sequential mediation model (2026)

To investigate how the perceived cuteness of AI service providers influences consumer acceptance of pro-environmental messages in the hospitality industry

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AI Application

Our lab explores and optimizes AI-driven interfaces to enhance user experiences and improve firm performance in the tourism sector

Effects of built environment on tourists’ active travel behaviors (2026)

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To systematically evaluate how the built environment influences tourists' likelihood of choosing active travel (walking and cycling) in Seoul
Identified destination accessibility as the most critical driver and revealed non-linear, asymmetric effects, offering precise guidance for sustainable urban tourism planning

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