From Quantified Dashboards to Experiential Landscapes
This project aims to explore how emotions are translated into data in a platform society. It is not intended as a practical data analysis tool, but to study how different visualization methods affect our understanding of emotional experience.
This project presents the same dataset through quantitative dashboards and experiential interactive interfaces, thereby prompting reflection on topics such as “dataism”, affective computing, and the limitations of computers in expressing human emotions.
Note: All emotional data used in this project is simulated for conceptual and critical purposes.
This dashboard transforms human emotions into concrete numbers, charts, and percentages. This design approach reflects the way that platform societies function—societies that rely on digital technologies for information exchange and management. In such societies, complex emotional states are transformed into measurable and comparable data points.
This approach to landscape design reinterprets the same data through “generative particles” and dynamic, flowing connection structures. Unlike traditional design patterns, it does not pursue clarity; instead, it emphasizes ambiguity, immersion, and the audience’s experiential perception.
Due to technical complexity and stability issues, the project currently relies on static simulation data rather than real-time social media APIs. In the future, real-time sentiment datasets may be used, or allow users to customize how data values affect visual behavior.