Author(s)

Dongyao Mou ¹, Linsha Liu ¹

Affiliation(s)

¹ School of Journalism and Communication, Chengdu Sport University, Chengdu, Sichuan, China

Corresponding Author

Linsha Liu

ABSTRACT

This article examines how generative artificial intelligence (AI) can support context-sensitive storytelling for Bashu cultural heritage in Southwest China. Current digital communication has improved the visibility of Bashu culture through short videos, social media and cultural IP, but it often remains fragmented, visually driven and weak in narrative depth. Adopting a conceptual and analytical approach, this study reviews existing discussions on Bashu cultural communication and generative AI, identifies Bashu culture as a layered narrative resource, and proposes a three-layer, four-module framework for AI-enabled smart guide systems. The framework links cultural knowledge preparation, narrative generation and scenario-based application, and is illustrated through Sanxingdui-related museum interpretation and urban cultural routes in the Chengdu-Chongqing region. The paper argues that generative AI should be embedded in a culture-first, scene-led and human-AI collaborative process, so that smart guides can move beyond information delivery and become narrative practices connecting heritage spaces, visitors and local cultural meanings.

KEYWORDS

Generative AI, Smart tourism, Cultural storytelling, Bashu culture, Digital heritage, Smart guide systems

CITE THIS PAPER

Dongyao Mou, Linsha Liu. Generative AI–Enabled Storytelling for Bashu Cultural Heritage in Smart Guide Systems: A Conceptual Framework. Tourism Management and Technology Economy (2026). Vol. 9, No. 1, 67-73. DOI: http://dx.doi.org/10.23977/tmte.2026.090108.

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