ChatGPT as a Real-Time Travel Companion: During-Trip Support and Tourist Satisfaction

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Authors: A. P. Tedjakusuma, Waiphot Kulachai
Cited by: 4
References: 63

Abstract

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.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Diverse Aspects of Tourism Research AI in Service Interactions

Publication details

Journal / source
Tourism and Hospitality
Publisher
MDPI AG
Volume
7
Issue
1
Pages
20–20
Publication date
12 January 2026
Language
EN