Ping Chen द्वारा Aurora मुख्य कार्य: मोबाइल ऐप अत्यंत प्रतिष्ठित 2026 A' Design Award लौह पुरस्कार क मोबाइल प्रौद्योगिकी, एप्लिकेशन आ सॉफ्टवेयर डिजाइन प्रतियोगिता श्रेणी मे एक अत्यधिक सम्मानित विजेता अछि।
लौहमोबाइल· 2026
Aurora मुख्य कार्य: मोबाइल ऐप
Ping Chen द्वारा
क्लाइंट: Aurora
मोबाइल श्रेणी मे A' Design Award लौह पुरस्कार विजेता
सत्यापित पुरस्कार विजेता
#182515 लेल पुरस्कार स्थिति सत्यापित करूडिज़ाइन
Aurora मुख्य कार्य: मोबाइल ऐप के बारे मे
बुक टेक्स्ट: अरोरा एकटा मोबाइल ऐप अछि जे संगीत आधारित अंतःक्रियाक माध्यमसँ एडीएचडी वला लोकनिक भावनात्मक नियमनमे सहायता करैत अछि। एहि इंटरफेसमे स्थिति-अनुरूप प्लेलिस्ट निर्माण, एकटा बहु-मनोदशा डायरी, आ दैनिक पैटर्न सारांश संयुक्त अछि। प्रत्येक डायरी प्रविष्टि वर्तमान ट्रैककेँ मनोदशा तीव्रता स्लाइडर आ एकटा छोट टिप्पणीसँ जोड़ैत अछि। ट्रेंड व्यू ओहि महत्वपूर्ण क्षणसभकेँ उजागर करैत अछि जखन संगीत ध्यान केंद्रित करबामे सुधार आनलक वा तनाव कम केलक। एकटा रिदम-सिंक भिजुअल मोड सुनबाक दौरान स्थिरता प्रदान करबा लेल कोमल गति संकेत दैत अछि।
मान्यता
A' Design Award लौह पुरस्कार के बारे मे
Aurora मुख्य कार्य: मोबाइल ऐप A' Design Award लौह पुरस्कारक विजेता अछि, जे नीक जकाँ डिजाइन कएल रचनासँ अपेक्षित व्यावसायिक आ औद्योगिक आवश्यकताकेँ पूर्ण करए बला नीक डिजाइनकेँ देल जाए बला प्रतिष्ठित मान्यता अछि। लौह विजेता अपन निर्माताक महान कौशल, उच्च विशेषज्ञता, विशेषज्ञ समझ आ सृजनात्मक क्षमता देखबैत छथि। Aurora मुख्य कार्य: मोबाइल ऐप सँ अपेक्षा अछि जे ओ उच्च सम्मानित, प्रशंसित आ प्रिय रचना होएत जे व्यावहारिक आ नवाचारी अछि। ई लौह पुरस्कार जीतल डिजाइन उद्योगक सर्वोत्तम अभ्यास एकीकृत करैत अछि आ ज्ञान तथा प्रतिभासँ जुड़ल सक्षम तकनीकी गुण रखैत अछि। Aurora मुख्य कार्य: मोबाइल ऐप अपन सूक्ष्मताक लेल सम्मानित अछि आ जीवनक गुणवत्ता सुधारि दुनियाकेँ बेहतर बनेबामे सहायक होएबाक लेल डिजाइन कएल गेल अछि।
डिज़ाइनक पाछाँ
प्रेस किट
डिज़ाइनर द्वारा उपलब्ध कराओल क्रेडिट, टीम सदस्य आ तकनीकी विवरण।
- अद्वितीय विशेषताएँ
- 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.
- आयाम आ पैकेजिंग
- 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.
- टैग
- ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
- उत्पादन प्रौद्योगिकी
- 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.
- डिजाइन चुनौती
- 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.
- अनुसंधान
- 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. - प्रेरणा
- 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.
- परियोजना अवधि
- 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.
- संचालन प्रवाह
- 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.
- पेटेंट
- Copyrights belong to Ping Chen, 2025.
- टीम सदस्य
- Ping Chen
Haowei Zang
प्रायोजित
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