Soulnest Cymhwysiad Symudol gan Yixuan Song and Jiahui Yu

Mae Soulnest Cymhwysiad Symudol gan Yixuan Song and Jiahui Yu yn enillydd uchel ei barch o'r 2026 Gwobr Haearn A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Symudol.

HaearnSymudol· 2026

Soulnest Cymhwysiad Symudol

gan Yixuan Song and Jiahui Yu

Cleient: SoulNest

Enillydd Gwobr Haearn A' Design Award yn y Categori Symudol

6,670

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #182422

Ymweld â'r Wefan Gweld yn A' Design Award Datganiad i'r Wasg Bathodyn Gwobr

Lliwiau

Y Dyluniad

Am Soulnest Cymhwysiad Symudol

Cymhwysiad symudol yw Soulnest a grëwyd i gefnogi lles meddyliol. Mae'r cymhwysiad yn cynnig cydymaith deallusrwydd artiffisial sy'n arwain defnyddwyr trwy bedwar cam: dewis cydymaith, asesiad, therapi a lleddfu argyfwng. Mae dadansoddi wynebol a synhwyro cyfradd curiad y galon yn galluogi'r cydymaith i addasu ei dôn a'i arweiniad mewn amser real. Defnyddir dulliau therapi ymddygiadol gwybyddol i helpu defnyddwyr i reoli straen emosiynol. Mae'r holl brosesu yn digwydd ar y ddyfais, felly mae'r cymhwysiad yn gweithio all-lein ac yn cadw data personol yn breifat.

Y Gydnabyddiaeth

Am y Gwobr Haearn A' Design Award

Mae Soulnest Cymhwysiad Symudol yn enillydd Gwobr Haearn A' Design Award, cydnabyddiaeth fawreddog a roddir i ddyluniadau da sydd yn bodloni'r gofynion proffesiynol a diwydiannol a ddisgwylir gan greadigaethau wedi'u dylunio'n dda. Mae enillwyr Haearn yn dangos medrusrwydd mawr, arbenigedd uchel, dealltwriaeth arbenigol a gallu creadigol eu crewyr. Disgwylir i Soulnest Cymhwysiad Symudol fod yn greadigaeth uchel ei bri, a edmygir ac a anwylir, sydd yn ymarferol ac yn arloesol. Mae'r dyluniad buddugol hwn o Wobr Haearn A' Design Award yn integreiddio arferion gorau'r diwydiant ac mae ganddo nodweddion technegol cymwys wedi'u cysylltu â gwybodaeth ymarferol a dawn. Parchir Soulnest Cymhwysiad Symudol am ei drylwyredd ac fe'i dyluniwyd i ddarparu gwelliannau ansawdd bywyd sydd yn helpu i wneud y byd yn lle gwell.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw: 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.
Dimensiynau a Phecynnu: 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.
Tagiau: Mental Wellness, Ai Companion, Social Impact, Emotional Intelligence, Inclusive Design, Biofeedback, Digital Health, Wearable Interaction, Cbt Therapy, Accessibility
Technoleg Cynhyrchu: 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.
Her Dylunio: 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.
Ymchwil: 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.
Ysbrydoliaeth: 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.
Hyd y Prosiect: The project started in Nov 2024 in San Jose and launched the beta version in Aug 2025.
Llif Gweithrediad: 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.
Aelodau'r Tîm: Yixuan Song
Jiahui Yu
Xianxi Liao