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    AI

    Google Introduces Jetpack Compose Glimmer: A New Spatial UI Framework Designed Particularly for the Subsequent Era of AI Glasses

    Naveed AhmadBy Naveed Ahmad18/02/2026Updated:18/02/2026No Comments5 Mins Read
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    Google is transferring past the oblong display screen. For over 10 years, Google designers have explored how you can construct interfaces for clear shows. The result’s Jetpack Compose Glimmer, a design system constructed particularly for show AI glasses. For devs and information scientists, this can be a shift from designing for pixels to designing with gentle.

    The Additive Show Constraint

    Most builders are used to LCD or OLED screens. Nevertheless, AI glasses use additive shows. These shows solely add gentle to the person’s field of regard. They can not create opaque black or make the actual world darker.

    On an additive show, black is 100% clear. It’s not a coloration; it’s a void. In case you use a normal Materials Design card (gentle floor with darkish textual content), it fails. The sunshine floor turns into a vibrant block of sunshine that drains the battery and creates halation. Halation is an impact the place vibrant gentle bleeds into darkish areas, making textual content unreadable.

    To unravel this, devs should use darkish surfaces and vibrant content material. Utilizing black as a basis supplies a ‘clear plate’ for the UI. This permits the digital components to harmonize with the bodily world with out creating distracting glare.

    From Pixels to Visible Angles

    Software program Devs usually measure UI in pixels or factors. In a clear spatial atmosphere, these models are irrelevant. The perceived measurement of an object adjustments primarily based on its distance from the attention.

    Google group now measure UI in visible angles or levels. The show in these glasses is projected at a perceived depth of 1 meter, which is about an arm’s size. This distance requires the person to actively shift their focus from the background to the UI.

    To make sure legibility, Google established a minimal readable textual content measurement of 0.6 levels. Conserving textual content above this threshold ensures that the interface stays ‘glanceable’ in several environments.

    Engineering Typography for Mild

    Customary fonts typically fail on clear lenses. Google group modified Google Sans Flex utilizing its optical measurement axis to repair this. These technical changes make letters extra distinct:

    • Elevated Counters: The inner openings in letters like ‘a’ and ‘e’ are bigger to stop them from blurring.
    • Modified Dots: The dots on ‘i’ and ‘j’ are moved farther from the primary letter physique.
    • Variable Letter-Spacing: The system optimizes spacing by code to maximise readability at a look.

    The Additive Distinction Components

    Google group use a selected method to calculate visibility. That is the additive distinction ratio.

    The method is: (Surroundings Brightness + Show Brightness) / Show Brightness.

    In the actual world, colours behave in another way. Extremely saturated colours typically ‘disappear’ or look ghostly in opposition to a vibrant sky. Glimmer makes use of a impartial, desaturated palette by default. By conserving colours nearer to white, the UI stays secure and visual whatever the lighting within the room.

    Designing Movement for Human Consideration

    On a heads-up show, movement is usually a main distraction. In commonplace cellular growth, a notification would possibly seem in 500 milliseconds. On AI glasses, that is too quick. It creates an abrupt ‘blink’ that may startle the person.

    Glimmer makes use of a slower, extra deliberate transition for notifications. These animations happen over 2 seconds. This period permits the notification to enter the person’s peripheral imaginative and prescient gracefully. It invitations focus fairly than demanding it.

    Nevertheless, user-triggered actions (like a voice command or gesture) nonetheless require low-latency suggestions. Glimmer makes use of ‘focus rings’ to supply prompt affirmation that the system has obtained an enter. This creates a stability between ambient notifications and responsive controls.

    Key Takeaways

    • Black is Transparency, Not a Shade: As a result of AI glasses use additive shows, they will solely add gentle; they can’t create true black or shadows. On this atmosphere, black is 100% clear. To make sure legibility, devs should use darkish surfaces for containers and vibrant colours for textual content and icons.
    • Visible Angles Exchange Pixels: Customary models like pixels (px) are changed by visible angles (levels). Because the UI is projected at a perceived depth of 1 meter, objects should be sized relative to the human eye’s perspective. The minimal threshold for readable textual content is about at 0.6 levels.
    • The Additive Distinction Components: Devs should account for environmental gentle utilizing the method: (Surroundings Brightness + Show Brightness) / Show Brightness. As a result of saturated colours typically ‘disappear’ in opposition to vibrant real-world backgrounds, a impartial, desaturated palette is used to take care of visibility.
    • Optical Typography Optimization: Customary typefaces endure from halation (gentle bleeding). Google Sans Flex is modified through its optical measurement axis to extend inner letter openings (counters) and increase letter-spacing, stopping characters from blurring collectively on a clear lens.
    • Movement Timing is Context-Dependent: Customary 500ms animations are too abrupt for a heads-up show. To respect human peripheral imaginative and prescient, Glimmer makes use of 2-second transitions for notifications to ‘invite’ focus, whereas sustaining low-latency suggestions (like focus rings) for direct person inputs to make sure responsiveness.

    Take a look at the Technical details. Additionally, be at liberty to observe us on Twitter and don’t overlook to affix our 100k+ ML SubReddit and Subscribe to our Newsletter. Wait! are you on telegram? now you can join us on telegram as well.


    Michal Sutter is a knowledge science skilled with a Grasp of Science in Information Science from the College of Padova. With a stable basis in statistical evaluation, machine studying, and information engineering, Michal excels at reworking complicated datasets into actionable insights.



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    Naveed Ahmad

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