Memex
Wayfinding with AI Pin
Process - Wayfinding with Ai Pin
Pocket-sized projector
- Used a Pico projector.
- Took the projector outside to film our concepts and showcase how they could work.
Architecture
- Hypothesized that Ai Pin could utilize a MEMS blue laser scanner
- small size, energy efficiency, and always-in-focus capabilities.
- Projected images on our hands and developed guidelines for positioning and scaling UI elements.
Font and line weights
- Created tests to find which fonts, line weights, and shapes were ideal for legibility under bright and dark environments to understand laser projectors better.
Iterative prototyping
- The demo shows a compass arrow that adjusts its perspective based on your hand position.
- Used tools like Figma, Origami, and Keynote
Inspiration
- Light Phone II is designed as a communication tool that reduces distractions.
- Inspired by its interface and tried projecting it as an early experiment.
One-handed operation
- Ai Pin should still work with one hand.
- This example shows how you could return to a dashboard or "home" state by closing your palm.
- This correlates with you "closing" an activity.
Primary gestures
- We would like to know if you could display interface elements on your fingertips that could be easily tapped.
- This solution feels ergonomically friendly.
- Not sure if the hardware will be able to project onto a target this small
Common interactions
- We tested our interaction mechanisms on common visual elements such as lists.
- This demo explores scrolling lists using a two-handed gesture.
- The interfaces we pursued for this concept reduced the need to scroll by displaying minimal information.
Animations and haptics
- Multi-modal feedback --visual cues, sound, and haptics-- would be critical for Wayfinding.
- Built animations to work alongside the potential hardware to demonstrate these scenarios.
Ambient awareness
- A future iteration of the hardware may be able to listen to announcements.
- Ai Pin could transcribe and alert you about relevant trip updates.
Dynamic, contextually aware interface
- Seamlessly transition and adapt based on understanding your surroundings.
- Less manual control, more intelligent interface, without interaction