Aurora Aplikasi Mobile dek Ping Chen adolah pamenang nan sangaik tahormat dari A' Design Award Basi 2026 nan sangaik prestigius dalam Kategori Kompetisi Seluler.

BasiSeluler· 2026

Aurora Aplikasi Mobile

dek Ping Chen

Klien: Aurora

Pamenang A' Design Award Basi dalam Kategori Seluler

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Caliak di A' Design Award Siaran Pers Lencana Penghargaan

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Desain

Tantang Aurora Aplikasi Mobile

Aurora adolah aplikasi mobile nan mambantu pangaturan emosi untuak urang nan ado Adhd malalui interaksi babasi musik. Antarmuko ko mangabuangan pambuatan playlist nan sasuai jo kaadaan, junal multi suasano ati, sarato ringkasan pola tiok hari. Tiok catatan junal manghubuangan lagu nan tangah dimainkan jo slider intensitas suasano ati sarato sabuah catatan singkek. Tampilan tren manyorot momen-momen pantiang katiko musik mampaelok fokus atau mangurangi stres. Mode visual nan saimbang jo irama mambari isyarat gerak nan lambuik salamo mandanga untuak mambantu manangkan diri.

Pangakuan

Tantang A' Design Award Basi

Aurora Aplikasi Mobile adolah pamenang A' Design Award Basi, sabuah pangakuan nan bapresti nan dibarikan ka rancangan nan elok nan mamanuhi kaparluan profesional jo industri nan dipaokan dari ciptaan nan dirancang jo elok. Pamenang Basi mamparlihatkan kamahiran nan gadang, spesialisasi nan tinggi, pamahaman pakar jo kapasitas kreatif panciptanyo. Aurora Aplikasi Mobile dipaokan manjadi ciptaan nan sangaik dihormati, dikagumi jo disayangi, nan praktis jo inovatif. Rancangan nan manang Basi iko mamasukkan praktik tabaik industri jo punyo ciri teknis nan cakap nan bapautan jo ilimu jo bakaik. Aurora Aplikasi Mobile dihormati karano katalitiannyo jo dirancang untuak maningkekkan kualitas hiduik jo mambantu manjadikan dunia tampek nan labiah elok.

Di Baliak Desain

Kit Pers

Kredit, anggota tim jo rincian teknis nan disadioan dek perancang.

Sifat Unik: 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.
Dimensi & Kemasan: 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.
Tag: ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
Teknologi Produksi: 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.
Tantangan Desain: 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.
Penelitian: 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.
Inspirasi: 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.
Durasi Proyek: 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.
Alua Operasi: 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.
Paten: Copyrights belong to Ping Chen, 2025.
Anggota Tim: Ping Chen
Haowei Zang