Green Computing Tree
Green Computing Tree is a speculative design concept that explores how we can create more sustainable digital behaviors through visual feedback and interaction.
The project was born from a curiosity: How can we make invisible energy consumption visible and personally meaningful?
The result is an interactive tree metaphor that responds to users' digital habits. When users make energy-conscious choices - like reducing streaming, turning off idle devices, or minimizing cloud storage - the tree thrives and grows.
When unsustainable behaviors occur, the tree reflects this through withering branches or a duller appearance.
The project’s goal was to translate complex and invisible data (such as carbon footprints from digital behaviour) into a simple, relatable visual system.
By designing a tree that grows or decays based on behaviour, we aimed to create a quiet but persistent emotional bond between users and their digital impact.
I contributed to the conceptual development, designed the visual interface, and helped define the interaction logic.
The design choices - soft animations, natural colors, and minimal UI - were all focused on slowing down the interaction and giving the user space to reflect rather than react.
Unlike typical data dashboards or sustainability apps that rely on metrics and progress bars, Green Computing Tree works as a slow interface.
It builds emotional awareness over time instead of pushing for quick changes. The project encourages users to care—not because they’re told to, but because they see something meaningful react to their behavior.
This concept highlights how speculative and emotional design can play a role in sustainability. It’s not just about information—it’s about designing for care.
This project gave me the opportunity to explore how emotional and visual design can be used to communicate sustainability in subtle, human-centered ways. It strengthened my ability to work conceptually, think systemically, and design with both empathy and impact in mind.