Aurora Fungsi Utama: Aplikasi Mobile naébbu Ping Chen iyanaritu pammènangngé iya temmaka riéloinna ri 2026 A' Design Award Bessi ri Katégori Kompétisi Desain Teknologi Mobile, Aplikasi, dan Perangkat Lunak.
BessiMobile· 2026
Aurora Fungsi Utama: Aplikasi Mobile
ᨑᨗ Ping Chen
ᨀᨒᨗᨕᨙ: Aurora
Pammènangngé A' Design Award Bessi ri Katégori Mobile
Pammènangngé Anugérah Naparessoi
Paressoi Status Anugérah untu #182515ᨉᨙᨔᨕᨗᨊᨙ
ᨄᨙᨑᨗᨖᨒ Aurora Fungsi Utama: Aplikasi Mobile
Aurora iyanaritu séddi aplikasi mobile iya manguruiwi pangaturang pammasé untu' tau iya makkullé Adhd lalenna interaksi iya mappammula musi'. Antaramuka-na napaddeppungeng pammacca'na playlist iya situru' kondisi, séddi jurnal multi pammasé, sibawa rangkuman pola esso-esso. Tungke' isi jurnal-é napassisumpung lagu iya makkokkoé sibawa slider intensitas pammasé nenniya séddi caté' bicco'. Tampilang tren-é napakatajangngi wettu-wettu penting wettunna musi'-é napadeceng pannessana iyaré'ga napacaccu' stres. Séddi mode visual iya situru' irama mappammula isyarat akkanrengeng iya malemma' ri laleng méngkalingaé untu' manguruiwi peneppe.
ᨄᨂᨑᨁᨙ
ᨄᨙᨑᨗᨖᨒ A' Design Award Bessi
Aurora Fungsi Utama: Aplikasi Mobile iyanaritu pakoro A' Design Award Bessi, pakalebbi iya malebbi iya ripabbere ri desain makessing iya mappabbura persyaratan profesional sibawa industri iya ripakkirangngi pole ri ciptaan iya makessing ripikkiri. Pakoro Bessi mappakita keterampilan malompo, spesialisasi dalleng, pemahaman ahli sibawa kapasitas kreatif tau mabbuat. Aurora Fungsi Utama: Aplikasi Mobile ripakkirangngi mancaji ciptaan iya ripakalebbi, ripuji sibawa rirennu iya praktis sibawa inovatif. Desain pakoro A' Design Award Bessi iyae mappasilaong praktik tepat industri sibawa napaitai karakteristik teknis iya kompeten iya sipulung sibawa pengetahuan sibawa bakat. Nasaba ketelitiannna, Aurora Fungsi Utama: Aplikasi Mobile mappoleang pakalebbi sibawa ripikkiri mappabbere perbaikan kualitas laleng iya ritulung mappadeceng lino mancaji tempe makessing.
ᨑᨗ ᨆᨘᨋᨗᨊᨙ ᨉᨙᨔᨕᨗ
ᨀᨗ ᨄᨙᨑᨙ
ᨀᨑᨙᨉᨗ, ᨕᨂᨚᨈ ᨈᨗᨆ ᨔᨗᨅᨓ ᨑᨗᨏᨗ ᨈᨙᨀᨊᨗ ᨊᨄᨓᨙᨑᨙ ᨑᨗ ᨉᨙᨔᨕᨗᨊᨑᨙ.
- Sipa Khas
- 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.
- Ukurang & Kemasang
- 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
- Téknologi 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.
- Tantangeng Désain
- 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.
- Panélitiang
- 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.
- Wettu Proyék
- 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.
- Alur Opérasi
- 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.
- Paténg
- Copyrights belong to Ping Chen, 2025.
- Anggota Tim
- Ping Chen
Haowei Zang
Sponsori
Jélajahi Lampéi ri Designers.org
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