A picture is worth 1000 words. Great visuals can enhance, dramatize and even bend the narrative. From historical photos to modern-day digital images made of millions of pixels, images have always been instrumental in shaping our visual understanding of the world around us. As much as they have been instrumental in shaping reality, easy access to image manipulation has also resulted in widespread misinformation. When we can fake anything, honest representation of reality in images has become a complex problem to crack.
After multiple design explorations, I realized a need for a fundamental change in our interaction with images. This thesis explored how any image could be used to expose the viewer to multiple perspectives. It resulted SHIFT concept, which re-imagines the future of still imagery in an interrogative way.
SHIFT is an image probing tool that enables a new methodology of exploring multiple perspectives of a context. It is designed to keep you informed of alternate realities out there. When multiple images are taken of the same context, they build a rich collection of diverse perspectives. Shift connects these images and uses any image as a visual search tool to uncover alternate perspectives from the same scene. It thus helps people to discover alternate ways of seeing the same context.