ChatGPT as a Real-Time Travel Companion: During-Trip Support and Tourist Satisfaction
Grounded in the Stimulus–Organism–Response (SOR) framework, this study examines how tourists’ in-trip use of ChatGPT shapes satisfaction during leisure travel. Survey data from 502 Indonesian travellers were analysed using PLS-SEM. Information diagnosticity, task efficiency, and perceived social support significantly strengthen travellers’ confidence in on-site choices, with social support emerging as the strongest predictor. Greater confidence elevates positive destination emotion, which in turn enhances tourist satisfaction, supporting a sequential cognition–affect mechanism. The study extends SOR to the during-trip stage by conceptualising ChatGPT as a real-time, dialogic stimulus that influences experience formation. Practically, destination and tourism firms can deploy ChatGPT at key on-site touchpoints and prioritise reassuring, effort-reducing guidance, supported by reliable local information and clear escalation to human assistance for higher-stakes needs.
Authors
- A. P. Tedjakusuma
- Waiphot Kulachai
Institutions
- Chaoyang University of Technology (TW)
- University of Surabaya (ID)
- Suan Sunandha Rajabhat University (TH)
- Universitas 45 Surabaya (ID)
Publication Details
- Journal
- Tourism and Hospitality
- Published
- 2026-01-12
- DOI
- https://doi.org/10.3390/tourhosp7010020
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00