Mariana 
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Adaptive Interface


Popularized in the context of industrial manufacturing, the digital twin is a powerful medium to collect, process, and reflect data; A virtual representation of a physical system that enables data exchange and simulation. Considering the evolution of computing and machine learning algorithms, Human-Computer Interaction should be designed to not only respond to user needs but also anticipate them. In the era of smartphones, smart TVs, smart homes… our operating systems often fall short of the intelligence today’s technology allows. This project addresses that gap, aiming to create a visual system that mirrors real-time user data to power more intelligent interfaces.



InquiryI began this project by exploring how digital spaces have become reflections of our generation’s identity, revealing parallels between our daily habits and online presence.






Research and Process Understanding that technology is rapidly evolving, I noticed the gap between advanced tech algorithms and interface versatility




Exploration I explored different emerging platforms blending tech and design to create manifestations of mirroring interactions which helped me come up with a cohesive output to encompass my research 



Outcome I packaged my process into a comprehensive product strategy roadmap by contextualizing research and insights into an innovative interface system, imagining how it could operate as a replacement for existing systems like Android or iOS