Delo Soulnest Mobilna aplikacija avtorja Yixuan Song and Jiahui Yu je izjemno cenjeni dobitnik prestižne nagrade 2026 Železna nagrada A' Design Award v tekmovalni kategoriji Oblikovanje mobilnih tehnologij, aplikacij in programske opreme.
ŽeleznaMobilno· 2026
Soulnest Mobilna aplikacija
avtor/ica: Yixuan Song and Jiahui Yu
Naročnik: SoulNest
Dobitnik nagrade Železna nagrada A' Design Award v kategoriji Mobilno
Potrjeni dobitnik nagrade
Preverite status nagrade za #182422Dizajn
O dizajnu Soulnest Mobilna aplikacija
Soulnest je mobilna aplikacija, ustvarjena za podporo duševnemu dobremu počutju. Aplikacija ponuja spremljevalca z umetno inteligenco, ki uporabnike vodi skozi štiri korake: izbiro spremljevalca, oceno, terapijo in lajšanje krize. Analiza obraza in zaznavanje srčnega utripa spremljevalcu omogočata, da v realnem času prilagaja svoj ton in usmerjanje. Za pomoč uporabnikom pri obvladovanju čustvenega stresa se uporabljajo metode kognitivno-vedenjske terapije. Vsa obdelava poteka na napravi, zato aplikacija deluje brez povezave in ohranja zasebnost osebnih podatkov.
Priznanje
O nagradi Železna nagrada A' Design Award
Soulnest Mobilna aplikacija je prejemnik Železne nagrade A' Design Award, prestižnega priznanja, ki se podeljuje dobrim oblikovanjem, ki izpolnjujejo profesionalne in industrijske zahteve, pričakovane od dobro zasnovanih stvaritev. Prejemniki Železne nagrade kažejo veliko spretnost, visoko specializacijo, strokovno razumevanje in ustvarjalne zmožnosti svojih ustvarjalcev. Od Soulnest Mobilna aplikacija se pričakuje, da bo visoko cenjena, občudovana in ljubljena stvaritev, ki je praktična in inovativna. To oblikovanje, nagrajeno z Železno nagrado A' Design Award, vključuje najboljše prakse panoge in ima kompetentne tehnične lastnosti, povezane s strokovnim znanjem in talentom. Zaradi svoje temeljitosti si Soulnest Mobilna aplikacija zasluži spoštovanje in je zasnovan tako, da zagotavlja izboljšave kakovosti življenja, ki pomagajo narediti svet boljši kraj.
V ozadju dizajna
Komplet za medije
Zasluge, člani ekipe in tehnične podrobnosti, ki jih je posredoval oblikovalec.
- Edinstvene lastnosti
- 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.
- Dimenzije in embalaža
- 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.
- Oznake
- Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
- Proizvodna tehnologija
- 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.
- Oblikovalski izziv
- 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.
- Raziskave
- 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.
- Inspiracija
- 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.
- Trajanje projekta
- The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
- Potek delovanja
- 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.
- Člani ekipe
- Yixuan Song
Jiahui Yu
Xianxi Liao
Sponzorirano
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