Memory Map V1
The Idea
This concept introduced a user-driven memory-mapping interface without AI automation. Users manually selected images, added labels, and placed markers on a digital map. The objective was to understand how individuals naturally arrange and annotate memories in a spatial format, generating insights to inform future AI-assisted or augmented reality enhancements.
Live Demo URL: https://calluxpore.github.io/Memorymap/
Development
The prototype, built using HTML, JavaScript, and Leaflet, allowed users to click on the map to create markers, upload images, and type descriptive labels. Memory clusters and a sidebar facilitated easy navigation. This approach encouraged a personal connection between users and their data, reflecting authentic patterns in how people recall and organize memories.
Reflection
Though devoid of automated captioning, the project highlighted genuine user behaviors and preferences in memory mapping. Observing these natural data input methods offered a valuable baseline for future improvements. This human-driven approach underscored what users want and need, paving the way for incorporating AI and AR features in subsequent iterations.
What Worked
- Intuitive, user-friendly actions (click, upload, label)
- Visual grouping of markers for improved map clarity
- Provided insights into organic memory organization
What Did Not Work
- Entire reliance on user-generated text
- Could become cumbersome with a large number of markers
Github