Ping Chen द्वारा निर्मित Aurora Primary Function: मोबाइल एप अत्यन्त प्रतिष्ठित 2026 A' Design Award फलाम पुरस्कार को मोबाइल प्रविधि, एप्लिकेसन र सफ्टवेयर डिजाइन प्रतिस्पर्धा श्रेणीमा अत्यधिक सम्मानित विजेता हो।
फलाममोबाइल· 2026
Aurora Primary Function: मोबाइल एप
Ping Chen द्वारा
ग्राहक: Aurora
मोबाइल श्रेणीमा A' Design Award फलाम पुरस्कार विजेता
प्रमाणित पुरस्कार विजेता
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Aurora Primary Function: मोबाइल एप बारेमा
Book Text: अरोरा एक मोबाइल एप हो जसले एडीएचडी भएका व्यक्तिहरूलाई संगीतमा आधारित अन्तरक्रियामार्फत भावनात्मक नियमनमा सहयोग गर्छ। यस इन्टरफेसले अवस्था अनुसार मिल्ने प्लेलिस्ट निर्माण, बहु-मनोदशा जर्नल, र दैनिक ढाँचा सारांशहरूलाई संयोजन गर्छ। प्रत्येक जर्नल प्रविष्टिले हालको ट्र्याकलाई मनोदशा तीव्रता स्लाइडरहरू र एक छोटो टिप्पणीसँग जोड्छ। ट्रेन्ड दृश्यले संगीतले एकाग्रता सुधार गरेको वा तनाव कम गरेको प्रमुख क्षणहरूलाई उजागर गर्छ। ताल-समक्रमित दृश्य मोडले सुन्ने क्रममा कोमल गति संकेतहरू प्रदान गर्छ जसले स्थिरतालाई सहयोग गर्छ।
मान्यता
A' Design Award फलाम पुरस्कार बारेमा
Aurora Primary Function: मोबाइल एप A' Design Award फलाम पुरस्कारको विजेता हो, राम्ररी डिजाइन गरिएका रचनाबाट अपेक्षित व्यावसायिक र औद्योगिक आवश्यकता पूरा गर्ने राम्रा डिजाइनहरूलाई दिइने प्रतिष्ठित मान्यता। फलाम विजेताहरूले आफ्ना सर्जकहरूको ठूलो कौशल, उच्च विशेषज्ञता, विज्ञ बुझाइ र सृजनात्मक क्षमता देखाउँछन्। Aurora Primary Function: मोबाइल एप उच्च सम्मानित, प्रशंसित र प्रिय, व्यावहारिक र नवीन रचना बन्नेछ भन्ने अपेक्षा छ। Aurora Primary Function: मोबाइल एप को सूक्ष्मताका लागि सम्मान पाइन्छ र जीवनको गुणस्तर सुधारेर संसारलाई अझ राम्रो बनाउन मद्दत गर्न यो डिजाइन गरिएको हो।
डिजाइनको पछाडि
प्रेस किट
डिजाइनरद्वारा प्रदान गरिएका श्रेय, टोलीका सदस्यहरू र प्राविधिक विवरणहरू।
- अद्वितीय विशेषताहरू
- 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 र प्याकेजिङ
- 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.
- ट्यागहरू
- ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
- उत्पादन प्रविधि
- 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.
- अनुसन्धान
- 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.
- सञ्चालन 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.
- पेटेन्टहरू
- Copyrights belong to Ping Chen, 2025.
- टोली सदस्यहरू
- Ping Chen
Haowei Zang
प्रायोजित
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