Silicus Traveler: An agent to simulate tourist behavior
Year: 2025
Type: article
Abstract: We introduce the Silicus Traveler, an innovative framework for a virtual tourist agent that simulates travel decision-making and behavior using large language models. Fidelity in these models hinges on high-quality, diverse, and representative data. Persistent challenges remain: cultural inclusivity, bias, and the inherent limitations of artificial systems. To address these, we propose conditioning the agent on Episode Records datasets (activities, situational context, and affect). We position the framework as a complement to human-centered research and as a reproducible pipeline that expands the methodological toolkit of tourism studies.
Source: Annals of Tourism Research
Authors: Juan Serantes, Jorge E. Araña
Institution: Universidad de Las Palmas de Gran Canaria
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $4,060
OpenAlex ID: W4415604841