Jinling Fenghua: Unfolding Cultural History of the Jinling Context via Visual Storytelling

Digital humanity visualization, as an innovative trend that combines historical and cultural studies with visualization, aims to provide the public with intuitive and engaging cultural exploration experiences. However, it is still challenging in this field due to the intrinsic complex and cumbersome textual data, such as how to intuitively and comprehensively present complex relationship networks and spatiotemporal evolution among the data. In this paper, we take the Jinling-related dataset as an example to design a composite visual storytelling tool that utilizes a narrative framework that smoothly changes between macro and micro perspectives. Simultaneously, AI-generated intuitive images are employed to represent the textual data, collectively narrating an engaging cultural story of Jinling. Through user studies, we validate the effectiveness and usability of the tool and demonstrate that the tool possesses excellent storytelling capabilities to improve users' cultural experiences.