Wonderland
A dream-sharing platform connecting dreamers with artists
ProblemArtists often struggle to find genuine, emotionally-rich source material for their work. Meanwhile, millions of dreams filled with unique imagery and narratives, are easily forgotten within minutes of waking.
SolutionA mobile app paired with a sleep mask that captures dream patterns through eye movement tracking, transforms them into searchable visual symbols using AI, and connects dreamers with artists in a collaborative community.
#Data visualization
#Hardware
#3D modeling
RESEARCH
Question: Why DREAMS are important to creativity?
Dreams, filled with randomness and emotional metaphors, inspire many artists and result in numerous artworks. They offer more than just chaotic fragments, often holding profound emotions and metaphors.
Methodology: Desk Research
Question: Can dreams be a steady source of inspiration for creators?
Many people enjoy recording their dreams and are open to others drawing inspiration from them. People also provide logical considerations that can be used as criteria to categorize various dreams.
Methodology: Co-Discovery Workshop · 3 Hours, 6 Participants
INSIGHTS
How might we connect the needs of dream recorders with artists looking for inspiration from dreams?
IDEATION
TECHNICAL FEATURES
DALL-E AI Model - Visualize Dreams The DALL-E AI model generates customizable moon symbols based on dream characteristics. By adjusting parameters like emotion intensity, color spectrum, logic degree, and detail richness, each dream transforms into a unique visual representation—ranging from delicate crescents to textured full moons—capturing the emotional and narrative essence of the dreamer's experience.
DESIGN
There are five main sections in Wonderland: recording dreams, browsing other's dreams, creation based on other's dreams, my own dream space, and notifications.
Information Architecture
Wireframes
FINAL EFFECTS
Hi-Fi (selected)
Main Page
My Dream Galaxy
Dream Labeling
Dream Details
Creation
User Flows
*The character images in this part were generated with the assistance of AIGC tools.