Enhancing Digital Health Analysis with Gravitational Models: Creative Computing for Semantic 3D Visualisation
Chong Yu Zeng, Hongji Yang, Yue Wu, P. Zhang, Yanju Yao, Marwan Muhammad Hussain Al-Akaidi, Zisen Zhou · 2024
In this paper, we explore the innovative application of physical laws, specifically Newton’s Law of Universal Gravitation, as metaphors within the realm of creative computing. By adapting gravitational concepts to measure the semantic “distances” and “attractions” between entities in textual data, we propose a computational model that interprets these relationships through the lens of physical force dynamics. This approach allows us to creatively visualise complex data interactions in a 3D space, where the metaphorical ‘mass’ and ‘distance’ between entities dictate their spatial arrangement based on calculated ‘gravitational’ forces. The core of our methodology involves the adaptation of the gravitational formula. We apply this model to a case study that demonstrates how entities with stronger semantic links are visually closer, creating imaginative and interpretative 3D scenes. This paper not only highlights the utility of physical metaphors in enhancing computational creativity but also opens new avenues for the application of such models in digital media, interactive art, and educational technologies. Further, this methodology can be extended to visualise and interpret health data, providing a novel representation of chronic conditions. By bridging physical theories and computational aesthetics, we provide a fresh perspective on data visualisation and creative computing.