Aurora Fonksyon Prensipal: Aplikasyon Mobil pa Ping Chen

Dizayn Aurora Fonksyon Prensipal: Aplikasyon Mobil pa Ping Chen se yon gayan ki gen anpil estim nan konpetisyon trè prestijye 2026 A' Design Award Fè nan Kategori Konpetisyon Mobil.

FèMobil· 2026

Aurora Fonksyon Prensipal: Aplikasyon Mobil

pa Ping Chen

Kliyan: Aurora

Gayan A' Design Award Fè nan Kategori Mobil

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Verifye Estati Pri pou #182515

Gade sou A' Design Award Kominike Laprès Badj Prim

Koulè

Konsepsyon an

Konsènan Aurora Fonksyon Prensipal: Aplikasyon Mobil

Tèks Liv: Aurora se yon aplikasyon mobil ki sipòte regilasyon emosyonèl pou moun ki gen Adhd atravè entèraksyon ki baze sou mizik. Koòdone an konbine kreyasyon lis lekti ki matche ak eta moun nan, yon jounal milti-imè, ak rezime modèl chak jou. Chak antre nan jounal la konekte mòso k ap jwe a ak baskil entansite imè ak yon ti nòt. Vi tandans lan mete aksan sou moman kle yo lè mizik te amelyore konsantrasyon oswa redui estrès. Yon mòd vizyèl ki senkronize ak ritm bay siyal mouvman dous pandan moun ap koute pou sipòte ekilib emosyonèl.

Rekonesans lan

Konsènan A' Design Award Fè

Aurora Fonksyon Prensipal: Aplikasyon Mobil se yon ganyan A' Design Award Fè, yon rekonesans ki gen prestij yo bay bon design ki satisfè egzijans pwofesyonèl ak endistriyèl yo atann de kreyasyon ki byen fèt. Ganyan Fè yo montre gwo konpetans, espesyalizasyon wo, konpreyansyon ekspè ak kapasite kreyatif kreyatè yo. Yo atann Aurora Fonksyon Prensipal: Aplikasyon Mobil pou se yon kreyasyon anpil moun estime, admire e renmen ki pratik e inovatè. Design sa a ki ganyen A' Design Award Fè entegre pi bon pratik sektè a e li gen karakteristik teknik konpetan ki lye ak konnesans pratik ak talan. Yo respekte Aurora Fonksyon Prensipal: Aplikasyon Mobil pou jèntan li e li fèt pou bay amelyorasyon kalite lavi ki ede fè mond lan vin yon pi bon kote.

Dèyè Konsepsyon an

Dosye Laprès

Kredi, manm ekip ak detay teknik konseptè a bay.

Pwopriyete Inik: 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.
Dimansyon & Anbalaj: 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.
Etikèt: ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
Teknoloji Pwodiksyon: 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.
Defi Dizayn: 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.
Rechèch: 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.
Enspirasyon: 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.
Dire Pwojè: 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.
Fliks Operasyon: 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.
Patant: Copyrights belong to Ping Chen, 2025.
Manm Ekip: Ping Chen
Haowei Zang