Aurora Foncion Primària: Aplicacion mobila per Ping Chen

Lo dissènh Aurora Foncion Primària: Aplicacion mobila per Ping Chen es un laureat autfo estimfo del prestigfo 2026 A' Design Award de Fèrre dins la Categoria de Competfo Mobil.

FèrreMobil· 2026

Aurora Foncion Primària: Aplicacion mobila

per Ping Chen

Client : Aurora

Laureat del A' Design Award de Fèrre dins la Categoria Mobil

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Lo Concèpte

A prepaus de Aurora Foncion Primària: Aplicacion mobila

Tèxte del Libre: Aurora es una aplicacion mobila que sosten la regulacion emocionala per las personas amb TDAH a travèrs d'una interaccion basada sus la musica. L'interfàcia combina la generacion de listas de lectura adaptadas a l'estat, un jornal multimodal de l'umor e de resumits dels patrons quotidians. Cada entrada del jornal liga la pista actuala amb de cursors d'intensitat de l'umor e una nòta corta. La vista de las tendéncias met en relèu los moments clau ont la musica melhorèt la concentracion o reduguèt l'estrès. Un mòde visual sincronizat amb lo ritme provesís d'indicis de moviment doces pendent l'escota per favorir l'ancoratge.

La Reconoissença

A prepaus del A' Design Award de Fèrre

Aurora Foncion Primària: Aplicacion mobila a ganhat la distincion A' Design Award de Fèrre, una reconeissença prestigiosa acordada a de bons designs que respondon a las exigéncias professionalas e industrialas esperadas de creacions plan concebudas. Los ganhaires del Fèrre demòstran una granda abilitat, una nauta especializacion, una comprenedura d'expèrt e la capacitat creativa de lors creators. S'espèra que Aurora Foncion Primària: Aplicacion mobila siá una creacion fòrça considerada, admirada e estimada, practica e innovanta. Aqueste design ganhaire de la distincion A' Design Award de Fèrre integra las melhoras practicas del sector e a de caracteristicas tecnicas competentas ligadas a un saber-far e a un talent. Per son rigor, Aurora Foncion Primària: Aplicacion mobila merita lo respècte e es destinat a aportar de melhoraments a la qualitat de la vida que ajudan a far del mond un luòc melhor.

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Kit de premsa

Crèdits, membres de l'equipa e detalhs tecnics fornits pel designer.

Proprietats Unicas: Aurora is a music-based emotional support app for people with ADHD. Unlike traditional music platforms that recommend by genre or history, Aurora learns from users' mood journals to generate state-matched playlists, highlight moments when music helped, and reveal daily regulation patterns. Rhythm-synced visuals add gentle grounding during listening. The result is a low-effort tool that turns everyday songs into long-term self-regulation habits for wellbeing support.
Dimensions e Embalatge: Platform: Mobile app (iOS and Android concept). Core inputs: current track metadata, time stamp, multi-mood intensity sliders, and short text notes. Core outputs: state-matched playlists, daily mood pattern summaries, highlighted key moments, and rhythm-synced visual modes. Data model links each journal entry to a song and a time period to support calendar navigation and trend views. Visual modes include multiple selectable patterns designed for low stimulation.
Etiquetas: ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
Tecnologia de Produccion: Aurora is designed as a mobile app concept with interactive prototypes. The experience is structured around three modules: playlist generation, mood journaling, and visual listening mode. Mood inputs are captured with multi-dimensional sliders and saved as time-stamped entries linked to the current music track. The app then summarizes entries into daily patterns and generates state-matched playlists based on past mood and listening records. Rhythm-synced visuals are designed to respond to BPM and audio energy.
Desaffo de Dissènh: The main challenge was designing for mixed emotional states without adding cognitive load. Many mood trackers force a single label, while detailed journaling can feel too demanding for ADHD users. This was addressed by using a small set of mood dimensions with quick sliders, blended visual cues to reflect mixed states, and an insight-first trend view that highlights only the most meaningful moments instead of showing every entry.
Recèrca: Research Objectives: Understand how people with ADHD use music to manage focus and mood.
Methodology: Semi structured interviews and concept testing. Data Collection and Research Tools Used: Interview notes, affinity mapping, storyboard and UI prototypes.
Participants: 10 adults with ADHD. Results: Music helps regulation but playlists rarely match the moment and helpful tracks are hard to recall.
Insights and Impacts: Led to mood logging, pattern highlights, and state matched playlists. Effect of the Research in Real-Life Phenomena such as Business, Society and Design Itself: Supports neurodiverse wellbeing and reframes music as intentional support.
Inspiracion: After interviewing 10 people with ADHD, I saw a repeated pattern: music helps them focus or calm down, but generic playlists rarely match the moment, and it is hard to remember what worked later. This gap inspired Aurora. I combined mood journaling, pattern insights, and rhythm-synced visuals to turn listening into a repeatable self-regulation tool.
Durada del Projècte: Aurora was designed over approximately 8 weeks in the United States (Boston, MA). Work included user interviews, synthesis, concept development, wireframing, and high-fidelity UI prototyping.
Flux Operacional: Users listen to music, then log a quick moment: what they are listening to, how they feel across a few mood sliders, and a short note. Aurora turns these moments into state matched playlists and a daily trend view that highlights when music helped stabilize focus or calm. A visual mode adds gentle rhythm synced motion during listening to support grounding and reduce overstimulation.
Brevets: Copyrights belong to Ping Chen, 2025.
Membres de l'Equipa: Ping Chen
Haowei Zang