Soulnest Aplicación Móbil de Yixuan Song and Jiahui Yu

O deseño Soulnest Aplicación Móbil de Yixuan Song and Jiahui Yu é un estimado gañador do moi prestixioso 2026 A' Design Award de Ferro na Categoría de Competición Deseño de Tecnoloxías Móbiles, Aplicacións e Software.

FerroMóbil· 2026

Soulnest Aplicación Móbil

de Yixuan Song and Jiahui Yu

Cliente: SoulNest

Gañador do A' Design Award de Ferro na Categoría Móbil

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Cores

O Deseño

Sobre Soulnest Aplicación Móbil

Soulnest é unha aplicación móbil creada para apoiar o benestar mental. A aplicación ofrece un compañeiro de intelixencia artificial que guía os usuarios a través de catro pasos: selección do compañeiro, avaliación, terapia e alivio de crises. A análise facial e a detección da frecuencia cardíaca permiten que o compañeiro adapte o seu ton e a súa orientación en tempo real. Empréganse métodos de terapia cognitivo-condutual para axudar os usuarios a xestionar o estrés emocional. Todo o procesamento realízase no dispositivo, polo que a aplicación funciona sen conexión e mantén a privacidade dos datos persoais.

O Recoñecemento

Sobre o A' Design Award de Ferro

Soulnest Aplicación Móbil gañou o A' Design Award de Ferro, un recoñecemento prestixioso outorgado a bos deseños que cumpren os requisitos profesionais e industriais esperados de creacións ben deseñadas. Os gañadores Ferro demostran a gran habilidade, a alta especialización, a comprensión experta e a capacidade creativa dos seus creadores. Espérase que Soulnest Aplicación Móbil sexa unha creación moi apreciada, admirada e querida que é práctica e innovadora. Este deseño gañador do A' Design Award de Ferro integra as mellores prácticas do sector e ten características técnicas competentes ligadas ao saber facer e ao talento. Soulnest Aplicación Móbil é respectado pola súa minuciosidade e está deseñado para proporcionar melloras na calidade de vida que axudan a facer do mundo un lugar mellor.

Detrás do deseño

Kit de prensa

Créditos, membros do equipo e detalles técnicos proporcionados polo deseñador.

Propiedades Únicas: Soulnest pioneers a paradigm shift in mental health by replacing traditional high-barrier appointments with an immediate, 4-step stabilization loop. It democratizes emotional care through de-stigmatized Ai avatars, delivering personalized support in under 10 seconds. Engineered for digital equity, it features on-device Ai inference for full offline functionality on low-end devices. Adhering to Wcag standards and low-arousal aesthetics, Soulnest fosters global resilience with proven 72% efficacy.
Dimensións e Embalaxe: Ai architecture: Green Llm framework optimized via Tensorflow lite for local edge-computing. Performance: On-device inference latency less than 120ms; 40% reduction in peak Cpu load via adaptive computation dimming. Bio-data: Heart rate sampling at 30fps; 100% on-device physiological processing (zero-cloud privacy). Universal equity: Lightweight build less than 150mb for low-end device compatibility. Compliance: Full Wcag 2.1 level Aa and Iso-standard data encryption for global digital wellness.
Etiquetas: Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
Tecnoloxía de Produción: Soulnest implements an empathic interaction system by merging Rppg bio-sensing with Facs-based facial tracking. This transforms passive interfaces into a responsive biofeedback loop, where Ai avatars dynamically adapt their tone and guidance based on real-time physiological stress markers. The design utilizes atomic design systems and flutter for cross-platform fluidity, ensuring a seamless experience that balances clinical rigor with a low-arousal visual language.
Reto de Deseño: The hardest part was achieving emotional authenticity while ensuring absolute privacy. Internal factors: We had to balance clinical rigor with a low-arousal Ux to prevent digital fatigue. External factors: Overcoming the limitations of on-device Ai inference was crucial to allow full functionality on low-end hardware without cloud dependency. Result: We successfully engineered a responsive bio-feedback loop that senses crisis through subtle physiological cues, navigating complex data-protection laws while delivering life-saving immediacy.
Investigación: We conducted a multi-modal mixed-methods study to bridge the 75% gap in immediate mental support. Methodology: Using evidence-based design and longitudinal tracking, we integrated Cbt frameworks with Ai interaction. Tools and participants: 1,200 diverse users were monitored via Rppg sensors and biometric wearables over 6 months. Results: Data showed a 72% increase in emotional regulation and a 58% reduction in crisis duration. Impact: The research proves that Ai-driven, bio-responsive tools can democratize mental healthcare, transforming high-barrier therapy into a scalable, stigma-free social infrastructure.
Inspiración: Inspired by the "silent crisis" where 75% of those in need lack mental support due to stigma and cost, Soulnest was born to bridge this gap. We observed that the "waiting period" is the deadliest barrier. Our goal was to create a "seamless emotional infrastructure" that is as natural as breathing. By integrating evidence-based therapy with Ai-driven empathy, Soulnest replaces medical coldness with human-centric warmth, ensuring support is a right, not a luxury, at the very moment of crisis.
Duración do Proxecto: The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
Fluxo de Operacións: 1. Selection: Users choose a personalized Ai companion based on visual aesthetics and emotional affinity. 2. Diagnosis: The Ai assesses mental states by analyzing facial micro-expressions and conversational patterns. 3. Therapy: Users access anytime Ai consultations with avatar using Cbt techniques for immediate emotional support. 4. Crisis relief: Interactive scenarios and sensory healing are triggered to de-escalate emotional spikes. 5. Biometric tracking: Wearable sensors monitor physiological indicators, allowing the Ai to proactively intervene and track long-term wellness trends.
Membros do Equipo: Yixuan Song
Jiahui Yu
Xianxi Liao