Dizajn Aurora Primarna funkcija: Mobilna aplikacija od dizajnera Ping Chen je visoko cijenjeni dobitnik prestižne nagrade 2026 Željezna nagrada A' Design Award u kategoriji Dizajn Mobilnih Tehnologija, Aplikacija i Softvera.
ŽeljezoMobilni· 2026
Aurora Primarna funkcija: Mobilna aplikacija
autor Ping Chen
Klijent: Aurora
Dobitnik nagrade Željezna nagrada A' Design Award u kategoriji Mobilni
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O dizajnu Aurora Primarna funkcija: Mobilna aplikacija
Tekst knjige: Aurora je mobilna aplikacija koja podržava emocionalnu regulaciju kod osoba s ADHD-om kroz interakciju zasnovanu na muzici. Interfejs kombinuje generiranje plejlista usklađenih sa trenutnim stanjem, dnevnik s više raspoloženja i dnevne sažetke obrazaca. Svaki unos u dnevnik povezuje trenutnu pjesmu s klizačima intenziteta raspoloženja i kratkom bilješkom. Prikaz trendova ističe ključne trenutke kada je muzika poboljšala fokus ili smanjila stres. Vizuelni mod sinhroniziran s ritmom pruža nježne pokretne signale tokom slušanja kako bi podržao osjećaj prizemljenosti.
Priznanje
O nagradi Željezna nagrada A' Design Award
Aurora Primarna funkcija: Mobilna aplikacija je pobjednik Željezne nagrade A' Design Award, prestižnog priznanja koje se dodjeljuje dobrim dizajnima što ispunjavaju profesionalne i industrijske zahtjeve očekivane od dobro dizajniranih kreacija. Željezni pobjednici pokazuju veliku vještinu, visoku specijalizaciju, stručno razumijevanje i kreativne kapacitete svojih stvaralaca. Očekuje se da Aurora Primarna funkcija: Mobilna aplikacija bude visoko cijenjena, voljena i njegovana kreacija koja je praktična i inovativna. Ovaj dizajn koji je osvojio Željeznu nagradu A' Design Award integrira najbolje industrijske prakse i ima kompetentne tehničke karakteristike povezane sa znanjem i talentom. Aurora Primarna funkcija: Mobilna aplikacija se poštuje zbog svoje temeljitosti i dizajniran je da pruži poboljšanja kvaliteta života koja pomažu da svijet postane bolje mjesto.
Iza dizajna
Press komplet
Zasluge, članovi tima i tehnički detalji koje je dostavio dizajner.
- Jedinstvena svojstva
- 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.
- Dimenzije i pakovanje
- 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.
- Oznake
- ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
- Tehnologija proizvodnje
- 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.
- Dizajnerski izazov
- 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.
- Istraživanje
- 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. - Inspiracija
- 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.
- Trajanje projekta
- 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.
- Tok rada
- 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.
- Patenti
- Copyrights belong to Ping Chen, 2025.
- Članovi tima
- Ping Chen
Haowei Zang
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