Insomnia Visualizer
Insomnia Visualizer
Overview
People experiencing insomnia often struggle to describe what their nights actually feel like. Language fails to capture fragmented sleep, racing thoughts, or the emotional weight of chronic restlessness.
Insomnia Visualizer is an interactive system that converts user input into generative visual narratives. Through guided prompts about sensation, mood, and triggers, the tool produces a personalized visual representation that can be reflected upon, saved, or shared with healthcare providers. I developed the concept, visual system, and interaction logic, collaborating with engineers to prototype real-time generative outputs and testing the experience with users affected by sleep disruption.
Overview
People experiencing insomnia often struggle to describe what their nights actually feel like. Language fails to capture fragmented sleep, racing thoughts, or the emotional weight of chronic restlessness.
Insomnia Visualizer is an interactive system that converts user input into generative visual narratives. Through guided prompts about sensation, mood, and triggers, the tool produces a personalized visual representation that can be reflected upon, saved, or shared with healthcare providers. I developed the concept, visual system, and interaction logic, collaborating with engineers to prototype real-time generative outputs and testing the experience with users affected by sleep disruption.
Overview
People experiencing insomnia often struggle to describe what their nights actually feel like. Language fails to capture fragmented sleep, racing thoughts, or the emotional weight of chronic restlessness.
Insomnia Visualizer is an interactive system that converts user input into generative visual narratives. Through guided prompts about sensation, mood, and triggers, the tool produces a personalized visual representation that can be reflected upon, saved, or shared with healthcare providers. I developed the concept, visual system, and interaction logic, collaborating with engineers to prototype real-time generative outputs and testing the experience with users affected by sleep disruption.
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