Abstract: With the emergence of intelligent chatbots, AI-driven conversational agents are increasingly being used to help tourists manage travel challenges and obtain effective solutions. Travel anxiety constitutes a significant impediment to tourism, substantially influencing travelers' future intentions. Given its multifaceted nature, spanning from subjective experiences to complex logistical arrangements, this study developed a fully functional tourism chatbot system using a tourist-centered design method to provide targeted guidance for travel anxiety mitigation. The knowledge-based chatbot implemented user-centered evaluation methods by recruiting seven participants who were randomly assigned to scenarios across six major global travel regions. Results from the participants’ short-answer responses and Likert-scale usability ratings indicated that this knowledge-based system delivers highly informative, context-aware, and expert-level recommendations through multifaceted strategy implementation. The findings suggest that such AI-driven interventions are effective in addressing specific travel challenges, with further implications for user-centered design discussed herein.

Jieyu Wang, Hungchih Yu and Dingfang Kang. “An Intelligent Knowledge-Based Chatbot to Mitigate Travel Anxiety”. International Journal of Advanced Computer Science and Applications (IJACSA) 17.1 (2026). http://dx.doi.org/10.14569/IJACSA.2026.0170103

@article{Wang2026,
title = {An Intelligent Knowledge-Based Chatbot to Mitigate Travel Anxiety},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2026.0170103},
url = {http://dx.doi.org/10.14569/IJACSA.2026.0170103},
year = {2026},
publisher = {The Science and Information Organization},
volume = {17},
number = {1},
author = {Jieyu Wang and Hungchih Yu and Dingfang Kang}
}