Aurora Prif Swyddogaeth: Ap Symudol gan Ping Chen

Mae Aurora Prif Swyddogaeth: Ap Symudol gan Ping Chen yn enillydd uchel ei barch o'r 2026 Gwobr Haearn A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Symudol.

HaearnSymudol· 2026

Aurora Prif Swyddogaeth: Ap Symudol

gan Ping Chen

Cleient: Aurora

Enillydd Gwobr Haearn A' Design Award yn y Categori Symudol

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Enillydd Gwobr Wedi'i Wirio

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Gweld yn A' Design Award Datganiad i'r Wasg Bathodyn Gwobr

Lliwiau

Y Dyluniad

Am Aurora Prif Swyddogaeth: Ap Symudol

Testun y Llyfr: Mae Aurora yn ap symudol sy'n cefnogi rheoleiddio emosiynol i bobl ag ADHD trwy ryngweithio sy'n seiliedig ar gerddoriaeth. Mae'r rhyngwyneb yn cyfuno creu rhestrau chwarae sy'n cyfateb i'r cyflwr, dyddiadur amlhwyl, a chrynodebau patrwm dyddiol. Mae pob cofnod yn y dyddiadur yn cysylltu'r trac cyfredol â llithryddion dwysedd hwyliau a nodyn byr. Mae'r olygfa duedd yn tynnu sylw at eiliadau allweddol pan wnaeth cerddoriaeth wella ffocws neu leihau straen. Mae modd gweledol sy'n cydamseru â rhythm yn darparu ciwiau symud tyner yn ystod gwrando i gefnogi seilio.

Y Gydnabyddiaeth

Am y Gwobr Haearn A' Design Award

Mae Aurora Prif Swyddogaeth: Ap Symudol yn enillydd Gwobr Haearn A' Design Award, cydnabyddiaeth fawreddog a roddir i ddyluniadau da sydd yn bodloni'r gofynion proffesiynol a diwydiannol a ddisgwylir gan greadigaethau wedi'u dylunio'n dda. Mae enillwyr Haearn yn dangos medrusrwydd mawr, arbenigedd uchel, dealltwriaeth arbenigol a gallu creadigol eu crewyr. Disgwylir i Aurora Prif Swyddogaeth: Ap Symudol fod yn greadigaeth uchel ei bri, a edmygir ac a anwylir, sydd yn ymarferol ac yn arloesol. Mae'r dyluniad buddugol hwn o Wobr Haearn A' Design Award yn integreiddio arferion gorau'r diwydiant ac mae ganddo nodweddion technegol cymwys wedi'u cysylltu â gwybodaeth ymarferol a dawn. Parchir Aurora Prif Swyddogaeth: Ap Symudol am ei drylwyredd ac fe'i dyluniwyd i ddarparu gwelliannau ansawdd bywyd sydd yn helpu i wneud y byd yn lle gwell.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw: 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.
Dimensiynau a Phecynnu: 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.
Tagiau: ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
Technoleg Cynhyrchu: 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.
Her Dylunio: 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.
Ymchwil: 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.
Ysbrydoliaeth: 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.
Hyd y Prosiect: 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.
Llif Gweithrediad: 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.
Patentau: Copyrights belong to Ping Chen, 2025.
Aelodau'r Tîm: Ping Chen
Haowei Zang