SENTIENT UI
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Sentient UI Framework

v1.0.0

Intelligent Adaptation

Calm
Intelligence

An interface that perceives, learns, and adjusts—silently and intelligently. Adaptive design that responds to your emotional state and context in real-time.

77%
Noise Reduction
16ms
Frame Budget
8.3
Lines of Code
Infinite Adaptation Sentient UI Infographic The Future of UI
Adaptive UI responding to user emotions

77%

Noise Reduction

Via Bayesian Sequential Updating

16ms

Frame Budget

Maintaining smooth 60fps transitions

8.3

Lines of Code

Average integration per component

Research & Engineering Work

Sentient UI — Research Paper

A research-driven framework exploring how modern user interfaces can adapt to emotion, behavior, and context through modular, privacy-preserving, on-device design.

Sentient UI: Bridging Emotion, Behavior, and Context

A Modular On-Device Framework for Adaptive User Interfaces

RESEARCH SUMMARY

Sentient UI investigates how adaptive user interfaces can be engineered using clean architectural separation and on-device processing. The framework integrates emotional state modeling, behavioral analysis, and contextual awareness to drive real-time visual adaptation while preserving privacy and developer control.

Architecture

A layered design separating signal detection, processing, adaptation logic, and UI integration for extensibility and maintainability.

Validation

A Flutter-based proof-of-concept demonstrating smooth, real-time visual adaptation under simulated emotional states.

View on IEEE Xplore
Technical Architecture

Four-Layer Clean Architecture

Sentient UI separates concerns through a modular structure, promoting extensibility while ensuring high cohesion.

Layer 01

Input Detection

Capturing multimodal signals through on-device sensors.

  • • Facial: MobileNetV2 detection of Ekman's 6 emotions.
  • • Behavioral: Tap frequency, dwell time, gesture velocity.
  • • Contextual: Time, Battery, and Brightness via platform APIs.
Layer 02

Signal Processing

Transforming raw data into validated, normalized signals.

  • • Bayesian Fusion: Reduces signal noise by 77%.
  • • Normalization: Z-score scaling for behavioral interaction patterns.
  • • Filtering: Median filtering for contextual environmental signals.
Layer 03

Adaptation Logic

Decision engines that drive concrete interface transformations.

  • • Rule-based Engine: Deterministic policies for brightness/theme.
  • • Multi-factor Engine: Weighted scoring for complex multimodal states.
  • • Conflict Resolution: High-confidence emotions veto transient signals.
Layer 04

UI Integration

The SentientWidget wrapper system for fine-grained control.

  • • Decorator Pattern: Adding behavior without modifying core logic.
  • • Reactive Updates: Leveraging Flutter's 16ms frame-rebuild cycle.
  • • Modularity: Integration requires only ~8.3 lines per component.

Each layer is designed for maximum privacy—no data leaves the device. All processing and adaptation occur entirely locally, with no network connectivity required at any stage.

sentient_ui 0.1.2

Modular Flutter framework for emotion-aware UI adaptation.

$ flutter pub add sentient_ui
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Stable release · Jan 11, 2026

Open Source

A modular design that isolates domain intelligence from infrastructure responsibilities.

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