This is like giving every traveler a smart digital concierge that knows typical travel options worldwide and can instantly suggest trips, hotels, and activities based on a conversation, instead of them clicking through dozens of booking-site filters.
Reduces the time and friction travelers face when searching and comparing options across flights, hotels, and activities, and explores whether people trust AI like ChatGPT enough to rely on it for personalized travel planning and booking decisions.
Trust and adoption insights from this research can inform better UX, transparency practices, and integration strategies for travel and hospitality providers, creating stickier AI-powered planning experiences anchored in proprietary booking and customer data.
Frontier Wrapper (GPT-4)
Vector Search
Medium (Integration logic)
Context window cost and latency for long travel conversations, plus the need to align AI-generated recommendations with real-time inventory, pricing, and business rules.
Early Adopters
This work focuses less on building another travel bot and more on understanding user trust, willingness to adopt AI-generated personalized recommendations, and the factors (e.g., transparency, accuracy, perceived usefulness) that drive or inhibit the use of ChatGPT-like systems in travel planning.