AI Development14 min readXR Platform

Android XR & AI Glasses: Developer Guide 2026

Complete developer guide to Android XR and Google AI glasses launching in 2026. Learn about Project Aura, Gemini integration, Android XR SDK, and building apps for Google's AI eyewear platform.

Digital Applied Team
December 21, 2025• Updated December 24, 2025
14 min read

Key Takeaways

Android XR Platform: Google's new OS for smart glasses and headsets, launching with Project Aura and Samsung partnership in late 2025
Gemini AI Integration: Enables multimodal understanding with real-time visual analysis and natural language interaction
SDK Developer Preview 3: Available now with emulator, spatial UI components, and Jetpack Compose XR support
Snapdragon AR2 Gen 2: Qualcomm processor powers lightweight, all-day wearable form factor with sub-20ms latency
Context-Aware Design: Design for interfaces that enhance rather than distract from real-world activities
20ms

Motion-to-Photon Latency

8+ hrs

Target Battery Life

1080p

Per-Eye Resolution

52°

Field of View

Android XR Technical Specifications
SDK Version
Developer Preview 3
API Level
35+
IDE
Android Studio Ladybug
UI Framework
Jetpack Compose XR
Processor
Snapdragon AR2 Gen 2
AI Runtime
Gemini Nano + Pro
Partners
Samsung, XREAL
Launch
Late 2025 / 2026

Understanding Android XR

Android XR represents Google's unified platform for extended reality devices, announced in December 2024 as the foundation for a new generation of smart glasses and mixed reality headsets. Unlike smartphone AR through ARCore, Android XR is a purpose-built operating system designed from the ground up for spatial computing.

Smart Glasses (Project Aura)

Lightweight, everyday-wearable glasses designed for ambient computing and contextual assistance throughout your day.

  • All-day battery life target
  • Gemini AI assistant built-in
  • Heads-up notifications
  • Real-time translation
Mixed Reality Headsets

Immersive devices for entertainment, productivity, and creative applications with full spatial computing capabilities.

  • High-resolution passthrough
  • Hand and eye tracking
  • Spatial audio system
  • Multi-window workspace

SDK Developer Preview 3

Released in December 2025, Developer Preview 3 brings increased stability for headset APIs and opens development for AI Glasses. This release includes the new XR Glasses emulator in Android Studio for testing glasses-specific experiences.

What's New in Developer Preview 3

XR Glasses Emulator

New emulator in Android Studio for AI Glasses development with accurate FoV, resolution, and DPI matching.

Dynamic glTF Loading

Jetpack SceneCore now supports loading 3D models via URIs and creating PBR materials at runtime.

Widevine DRM Support

SurfaceEntity component enhanced with full DRM support for protected video content playback.

360° Video Rendering

New sphere and hemisphere shapes for immersive 360° and 180° video experiences.

ARCore Geospatial

Location-based content and accurate wayfinding with ARCore geospatial features for XR.

Body Tracking (Beta)

Experimental body tracking plus QR code and ArUco marker recognition capabilities.

SDK Component Versions

ComponentVersionStatus
xr-core1.0.0-alpha03DP3
xr-compose1.0.0-alpha03DP3
xr-runtime1.0.0-alpha03DP3
play-services-gemini1.0.0Stable
ARCore XR1.43.0+Stable

Project Aura Technical Specifications

Project Aura represents Google's vision for lightweight, stylish smart glasses that people will actually want to wear all day. The hardware specifications prioritize comfort, battery efficiency, and seamless integration with daily life.

ComponentSpecificationDeveloper Impact
ProcessorQualcomm Snapdragon AR2 Gen 2Dedicated AI NPU for on-device inference
DisplayMicroLED waveguide, 1080p per eyeDesign for 52° FOV constraints
CamerasDual 12MP + depth sensorEnvironment understanding APIs available
AudioOpen-ear spatial speakers + 3 micsSpatial audio SDK for immersive sound
BatteryIntegrated + companion battery packPower profiling tools critical
ConnectivityWiFi 6E, Bluetooth 5.3, Ultra WidebandPhone companion mode for heavy processing
LatencySub-20ms motion-to-photonFrame timing APIs for smooth rendering

Form Factor Priorities

<50g
Weight target for all-day comfort
Standard
Prescription lens compatibility
IP54
Dust and splash resistance

Gemini AI Integration

Gemini is the AI backbone of Android XR, providing multimodal understanding that combines what you see, hear, and say into contextual intelligence. This deep integration enables experiences impossible on traditional devices.

Visual Understanding
Real-time analysis of what you're looking at
  • Object Recognition — Identify products, plants, landmarks instantly
  • Text Extraction — Read and translate signs, menus, documents
  • Scene Understanding — Contextual awareness of environments
  • Face Recognition — Optional memory aid for contacts
Conversational AI
Natural language interaction with context
  • Voice Commands — Hands-free control of all features
  • Follow-up Questions — Maintains conversation context
  • Proactive Suggestions — Offers help based on situation
  • Multi-turn Tasks — Complex workflows via conversation
Gemini API Integration Example
// Request visual analysis from Gemini
val geminiService = GeminiXR.getInstance(context)

// Capture current field of view
val visualContext = captureFieldOfView()

// Send multimodal query
val response = geminiService.query(
    text = "What restaurant is this and what's on the menu?",
    image = visualContext.currentFrame,
    location = getCurrentLocation(),
    conversationHistory = sessionHistory
)

// Display response in AR overlay
spatialUI.showInfoCard(
    content = response.text,
    anchor = visualContext.pointOfInterest,
    duration = CardDuration.UNTIL_DISMISSED
)

Developer Setup Guide

Getting started with Android XR development requires Android Studio with XR extensions and the latest SDK tools. Follow this setup process to configure your development environment.

1
Install Android Studio XR
Download the latest Android Studio with XR support

# Download from developer.android.com

Android Studio Ladybug or later required

# Enable XR plugins

Settings → Plugins → Android XR Support

2
Configure SDK Components
Install Android XR SDK and emulator

# In SDK Manager

SDK Platforms → Android XR (API 35+)

SDK Tools → Android XR Emulator

SDK Tools → Android XR Image (System Images)

3
Create XR Virtual Device
Set up emulator for testing

# In Device Manager

Create Device → XR Category → Android XR Headset

Select system image: Android XR Preview

# Configure GPU for rendering

Graphics: Hardware - GLES 3.0+

4
Add XR Dependencies
Configure Gradle for XR development
// build.gradle.kts
dependencies {
    implementation("androidx.xr:xr-core:1.0.0-alpha03")
    implementation("androidx.xr:xr-compose:1.0.0-alpha03")
    implementation("androidx.xr:xr-runtime:1.0.0-alpha03")
    implementation("com.google.android.gms:play-services-gemini:1.0.0")
}

Building Your First XR App

Let's build a simple XR application that displays floating information cards in the user's environment. This example demonstrates the core concepts of spatial UI and environment awareness.

MainActivity.kt - Basic XR Application
class MainActivity : XrActivity() {
    private lateinit var spatialSession: SpatialSession

    override fun onCreate(savedInstanceState: Bundle?) {
        super.onCreate(savedInstanceState)

        // Initialize spatial session
        spatialSession = SpatialSession.Builder(this)
            .setFeatures(
                SpatialFeature.PLANE_DETECTION,
                SpatialFeature.SPATIAL_ANCHORS,
                SpatialFeature.HAND_TRACKING
            )
            .build()

        // Set up Compose XR content
        setContent {
            XrTheme {
                SpatialScaffold(
                    session = spatialSession
                ) {
                    FloatingInfoPanel()
                }
            }
        }
    }
}

@Composable
fun FloatingInfoPanel() {
    val planeState = rememberPlaneDetectionState()

    // Anchor card to detected surface
    SpatialPanel(
        anchor = planeState.primaryPlane,
        offset = Offset3D(0f, 1.5f, -1f), // 1.5m up, 1m in front
        size = PanelSize(0.4f, 0.3f) // 40cm x 30cm
    ) {
        Card(
            modifier = Modifier.fillMaxSize(),
            colors = CardDefaults.cardColors(
                containerColor = Color.White.copy(alpha = 0.9f)
            )
        ) {
            Column(
                modifier = Modifier.padding(16.dp),
                horizontalAlignment = Alignment.CenterHorizontally
            ) {
                Text(
                    text = "Welcome to Android XR",
                    style = MaterialTheme.typography.headlineSmall
                )
                Spacer(modifier = Modifier.height(8.dp))
                Text(
                    text = "This panel is floating in your space",
                    style = MaterialTheme.typography.bodyMedium
                )
            }
        }
    }
}
SpatialSession

Core runtime managing environment tracking, anchors, and input. Configure required features at initialization.

SpatialPanel

Container for 2D UI content positioned in 3D space. Supports anchoring to planes, objects, or world coordinates.

XrTheme

Material Design adapted for XR with legibility optimizations, depth cues, and spatial interaction patterns.

XR Design Patterns

Designing for XR requires new thinking about interface placement, user attention, and context awareness. Follow these patterns to create comfortable, intuitive experiences.

Glanceable Information Architecture

Users wearing glasses can't afford to be distracted. Design interfaces that communicate essential information at a glance.

Do
  • • Large, high-contrast text (min 24sp)
  • • Icon-first, label-second layouts
  • • Progressive disclosure of details
  • • Automatic dismissal timers
Don't
  • • Dense text paragraphs
  • • Multiple competing notifications
  • • Persistent overlays blocking view
  • • Small interactive targets
Comfort Zone Placement

Place content in the user's natural viewing zone to prevent neck strain and eye fatigue during extended use.

// Comfort zone constants (relative to user's head)
object ComfortZone {
    val OPTIMAL_DISTANCE = 0.75f..1.5f  // 75cm-150cm
    val VERTICAL_ANGLE = -15f..15f      // degrees from horizon
    val HORIZONTAL_ANGLE = -30f..30f    // degrees from center

    val PERIPHERAL_OK = 30f..60f        // for glanceable alerts
    val AVOID_ZONE = 60f..90f           // causes neck strain
}
Context-Aware Triggering

Show information when it's relevant, hide it when it's not. Use environmental and behavioral cues to determine timing.

Gaze Duration

Trigger after 500ms+ sustained gaze at object

Temporal Context

Restaurant hours near mealtime, not midnight

Activity State

Suppress during driving, exercise, meetings

Performance Optimization

XR devices have strict performance requirements—maintaining 90fps while managing thermal constraints and battery life. Optimization isn't optional; it's essential for usable applications.

Performance Budgets
  • Frame time budget11.1ms max
  • Draw calls per frame<100
  • Triangles rendered<100K
  • Texture memory<256MB
  • CPU AI inference<5ms
Optimization Techniques
  • Use level-of-detail (LOD) for 3D objects
  • Implement occlusion culling aggressively
  • Batch static geometry at build time
  • Use foveated rendering when available
  • Profile with Android GPU Inspector
Power-efficient rendering pattern
class OptimizedRenderer : XrRenderer {
    private val staticCache = SpatialCache()
    private var lastUpdateTime = 0L

    override fun onFrame(frameState: FrameState) {
        // Skip redundant updates (target 15fps for static UI)
        val timeSinceUpdate = frameState.time - lastUpdateTime
        if (!hasChanges && timeSinceUpdate < 66_000_000) {
            renderCached(staticCache)
            return
        }

        // Adaptive quality based on thermal state
        val quality = when (frameState.thermalState) {
            ThermalState.NOMINAL -> RenderQuality.HIGH
            ThermalState.FAIR -> RenderQuality.MEDIUM
            ThermalState.SERIOUS -> RenderQuality.LOW
            ThermalState.CRITICAL -> RenderQuality.MINIMAL
        }

        renderScene(quality)
        staticCache.update(currentScene)
        lastUpdateTime = frameState.time
    }
}

Common Mistakes to Avoid

XR development introduces unique pitfalls that can ruin user experience. Learn from common mistakes to build better applications.

Ignoring Motion Sickness

Artificial locomotion and camera movements cause nausea in many users. Unlike gaming VR, everyday wearables need to prioritize comfort above all.

Solution:

Lock content to real-world anchors. Never move the camera programmatically. Use fade transitions instead of animated movements. Provide instant-teleport navigation options.

Overcrowding the Field of View

Treating XR like a desktop with unlimited screen space leads to overwhelming, unusable interfaces that block the user's view of the real world.

Solution:

Limit simultaneous UI elements to 3-5 maximum. Use peripheral hints that expand on gaze. Implement aggressive auto-dismiss. Always maintain clear sightlines for safety.

Testing Only in Emulator

The emulator can't replicate real-world conditions—varying lighting, moving environments, physical comfort over time, or actual tracking quality.

Solution:

Test on real hardware as soon as available. Create diverse environment test scenarios. Conduct extended wear sessions (30+ minutes). Test in low-light and bright outdoor conditions.

Neglecting Privacy Indicators

Camera-enabled glasses raise social concerns. Apps that don't clearly indicate recording or processing will create user distrust and social friction.

Solution:

Use mandatory recording LED indicators. Show processing status to bystanders when appropriate. Implement automatic recording restrictions in sensitive locations. Provide clear data deletion controls.

Always-On Processing

Running continuous computer vision or AI inference destroys battery life and generates uncomfortable heat against the user's face.

Solution:

Implement intelligent activation triggers (wake words, gaze, gestures). Cache recognition results for static environments. Use low-power coprocessors for ambient sensing. Provide clear power mode options to users.

Real Agency Applications

Marketing agencies have unique opportunities to leverage Android XR for client experiences and internal productivity. Here are practical applications we're exploring.

Retail Analytics Overlays

Equip field researchers with XR glasses that overlay real-time analytics on store displays during retail audits.

  • SKU-level performance metrics on products
  • Competitor positioning comparisons
  • Planogram compliance checking
  • Voice-noted observations synced to CRM
Event Experience Enhancement

Create AR-enhanced conference and trade show experiences that connect physical presence with digital content.

  • Attendee recognition with conversation context
  • Interactive booth demonstrations
  • Real-time translation for international events
  • Navigation and scheduling assistance
Client Presentation Environments

Build immersive pitch environments that let clients experience campaigns in simulated real-world contexts.

  • Virtual billboard placements in context
  • Retail display mockups in store environments
  • Social media feed simulations
  • A/B testing with eye tracking analytics
Hands-Free Production

Enable creative teams to work hands-free during photo shoots, video production, and on-site content creation.

  • Shot list and storyboard overlays
  • Real-time color grading previews
  • Client feedback integration via voice
  • Asset library access with visual search
Frequently Asked Questions

Ready to Build the Future of Digital Experiences?

Whether you're preparing for Android XR development or need cutting-edge digital solutions today, Digital Applied can help you stay ahead of the technology curve.

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