Ping Chen tomonidan Aurora Primary Function: Mobil ilova

Ping Chen tomonidan yaratilgan Aurora Primary Function: Mobil ilova — Mobil Texnologiyalar, Ilovalar va Dasturiy Ta'minot Dizayni tanlov toifasida nufuzli 2026 A' Design Award Temir Mukofoti mukofotining yuqori baholangan g'olibidir.

TemirMobil· 2026

Aurora Primary Function: Mobil ilova

muallif: Ping Chen

Mijoz: Aurora

Mobil toifasida A' Design Award Temir Mukofoti g'olibi

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A' Design Award saytida ko'rish Press-reliz Mukofot nishoni

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Dizayn

Aurora Primary Function: Mobil ilova haqida

Book Text: Aurora — bu ADHD bilan yashayotgan insonlarga musiqaga asoslangan o'zaro ta'sir orqali hissiy muvozanatni saqlashga yordam beradigan mobil ilova. Interfeys holatga mos pleylistlar yaratish, ko'p kayfiyatli kundalik va kunlik naqsh xulosalarini birlashtiradi. Har bir kundalik yozuvi joriy trekni kayfiyat intensivligi slayderlari va qisqa eslatma bilan bog'laydi. Tendentsiyalar ko'rinishi musiqa diqqatni yaxshilagan yoki stressni kamaytirgan asosiy lahzalarni ta'kidlaydi. Ritmga moslashtirilgan vizual rejim tinglash davomida muvozanatni saqlashga yordam berish uchun yumshoq harakat ishoralarini taqdim etadi.

Tan olinish

A' Design Award Temir Mukofoti haqida

Aurora Primary Function: Mobil ilova A' Design Award Temir Mukofotining g‘olibi bo‘lib, bu yaxshi loyihalangan ijodlardan kutiladigan kasbiy va sanoat talablariga javob beradigan yaxshi dizaynlarga beriladigan nufuzli e’tirofdir. Temir g‘oliblari o‘z yaratuvchilarining katta mahorati, yuksak ixtisosligi, mutaxassis tushunchasi va ijodiy salohiyatini namoyon etadi. Aurora Primary Function: Mobil ilova yuqori qadrlanadigan, hayrat bilan qaraladigan va suyukli, amaliy hamda innovatsion ijod bo‘lishi kutiladi. A' Design Award Temir Mukofotini qo‘lga kiritgan ushbu dizayn soha eng yaxshi amaliyotlarini uyg‘unlashtiradi va bilim hamda iste’dod bilan bog‘langan layoqatli texnik xususiyatlarga ega. Aurora Primary Function: Mobil ilova puxtaligi uchun hurmatga sazovor bo‘lib, dunyoni yaxshiroq joyga aylantirishga yordam beradigan hayot sifatini yaxshilashni taqdim etish uchun loyihalangan.

Dizayn ortida

Press-kit

Dizayner tomonidan taqdim etilgan kreditlar, jamoa a'zolari va texnik tafsilotlar.

Noyob xususiyatlar: 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.
O'lchamlar va qadoqlash: 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.
Teglar: ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
Ishlab chiqarish texnologiyasi: 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.
Dizayn muammosi: 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.
Tadqiqot: 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.
Ilhom: 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.
Loyiha muddati: 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.
Ish jarayoni: 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.
Patentlar: Copyrights belong to Ping Chen, 2025.
Jamoa a'zolari: Ping Chen
Haowei Zang