Aurora Funció principal: Aplicació mòbil by Ping Chen

Aurora Funció principal: Aplicació mòbil by Ping Chen is a highly esteemed winner of the very prestigious 2026 A' Design Award de Ferro in Disseny de Tecnologies Mòbils, Aplicacions i Programari Competition Category.

FerroMòbil· 2026

Aurora Funció principal: Aplicació mòbil

by Ping Chen

Client: Aurora

A' Design Award de Ferro Winner in Mòbil Category

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The Design

About Aurora Funció principal: Aplicació mòbil

Text del llibre: Aurora és una aplicació mòbil que dona suport a la regulació emocional de les persones amb TDAH mitjançant la interacció basada en la música. La interfície combina la generació de llistes de reproducció adaptades a l'estat d'ànim, un diari de múltiples estats d'ànim i resums de patrons diaris. Cada entrada del diari vincula la pista actual amb controls lliscants d'intensitat de l'estat d'ànim i una nota breu. La vista de tendències destaca els moments clau en què la música va millorar la concentració o va reduir l'estrès. Un mode visual sincronitzat amb el ritme proporciona senyals de moviment suaus durant l'escolta per afavorir la connexió amb el present.

The Recognition

About the A' Design Award de Ferro

Aurora Funció principal: Aplicació mòbil és un guanyador del guardó A' Design Award de Ferro, un reconeixement prestigiós concedit a bons dissenys que compleixen els requisits professionals i industrials esperats de creacions ben dissenyades. Els guanyadors de Ferro demostren una gran habilitat, una alta especialització, una comprensió experta i la capacitat creativa dels seus creadors. Es preveu que Aurora Funció principal: Aplicació mòbil sigui una creació molt apreciada, admirada i estimada que és pràctica i innovadora. Aquest disseny guanyador del guardó A' Design Award de Ferro integra les millors pràctiques del sector i té característiques tècniques competents lligades al coneixement i al talent. Aurora Funció principal: Aplicació mòbil és respectat per la seva minuciositat i està pensat per oferir millores en la qualitat de vida que ajuden a fer del món un lloc millor.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 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 & Packaging: 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.
Tags: ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
Production Technology: 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.
Design Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: 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.
Operation Flow: 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.
Patents: Copyrights belong to Ping Chen, 2025.
Team Members: Ping Chen
Haowei Zang