Aurora चलदूरवाणी-अनुप्रयोगः by Ping Chen is a highly esteemed winner of the very prestigious 2026 A' Design Award लौहपुरस्कारः in चल प्रौद्योगिकी, अनुप्रयोग एवं तन्त्रांश अभिकल्पना Competition Category.
लौहम्चलम्· 2026
Aurora चलदूरवाणी-अनुप्रयोगः
by Ping Chen
Client: Aurora
A' Design Award लौहपुरस्कारः Winner in चलम् Category
Verified Award Winner
Verify Award Status for #182515The Design
About Aurora चलदूरवाणी-अनुप्रयोगः
औरोरा एकः चलदूरवाणी-अनुप्रयोगः अस्ति यः सङ्गीताधारित-अन्तःक्रियायाः माध्यमेन Adhd-पीडितानां जनानां भावनात्मक-नियमनं समर्थयति। अन्तरफलकं स्थिति-अनुरूप-गीतसूची-निर्माणं, बहुमनोदशा-दैनन्दिनी, दैनिक-प्रतिमान-सारांशं च संयोजयति। प्रत्येकं दैनन्दिनी-प्रविष्टिः वर्तमान-गीतं मनोदशा-तीव्रता-सर्पकैः लघुटिप्पण्या च सह सम्बद्धं करोति। प्रवृत्ति-दृश्यं तानि मुख्य-क्षणानि प्रकाशयति यदा सङ्गीतेन एकाग्रता वर्धिता तनावः वा न्यूनीकृतः। ताल-समकालित-दृश्य-विधिः श्रवणकाले आधारस्थापनार्थं सौम्य-गति-सङ्केतान् प्रददाति।
The Recognition
About the A' Design Award लौहपुरस्कारः
Aurora चलदूरवाणी-अनुप्रयोगः A' Design Award लौहपुरस्कारस्य विजेता अस्ति; इदं प्रतिष्ठितं मान्यताप्रदानं तेभ्य उत्तमेभ्योऽभिकल्पेभ्यो दीयते ये सुनिर्मितेभ्यः सृष्टिभ्योऽपेक्षिताः व्यावसायिकीः औद्योगिकीश्चावश्यकताः पूरयन्ति। लौहविजेतारः स्वनिर्मातॄणां महत् कौशलम्, उच्चां विशेषज्ञताम्, विशेषज्ञोचितां बोधशक्तिं सृजनसामर्थ्यं च प्रदर्शयन्ति। Aurora चलदूरवाणी-अनुप्रयोगः अत्यन्तं मूल्यवती प्रशंसिता प्रिया च सृष्टिर्व्यावहारिका नवोन्मेषयुक्ता च भविष्यतीति प्रत्याशा क्रियते। A' Design Award लौहपुरस्कारं जितवद् एतद् अभिकल्पकार्यम् उद्योगस्य श्रेष्ठतमाः पद्धतीः समन्वयति ज्ञानेन प्रतिभया च संयुक्तानि सक्षमप्राविधिकलक्षणानि च धारयति। Aurora चलदूरवाणी-अनुप्रयोगः स्वसूक्ष्मसमीक्षायाः कारणाद् आद्रियते जीवनस्तरसुधारम् अर्पयितुं च निर्मितम् अस्ति, यद् विश्वम् उत्तमतरं स्थानं कर्तुं साहाय्यं करोति।
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- 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.
- Dimensions & Packaging
- 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.
- Tags
- ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
- Production Technology
- 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.
- Design Challenge
- 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.
- Research
- 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. - Inspiration
- 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.
- Project Duration
- 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.
- Operation Flow
- 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.
- Patents
- Copyrights belong to Ping Chen, 2025.
- Team Members
- Ping Chen
Haowei Zang
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