Aurora Umsebenzi Oyinhloko: Uhlelo Lokusebenza Lweselula ngu-Ping Chen

Umdwebo Aurora Umsebenzi Oyinhloko: Uhlelo Lokusebenza Lweselula ngu-Ping Chen ungumnqobi ohlonishwa kakhulu womklomelo odumile we-2026 Umklomelo Wensimbi we-A' Design Award Esigabeni Somncintiswano se-Iselula.

InsimbiIselula· 2026

Aurora Umsebenzi Oyinhloko: Uhlelo Lokusebenza Lweselula

ngu Ping Chen

Iklayenti: Aurora

Umnqobi we-Umklomelo Wensimbi we-A' Design Award Esigabeni se-Iselula

7,288

Umnqobi Womklomelo Oqinisekisiwe

Qinisekisa Isimo Somklomelo se-#182515

Buka ku-A' Design Award Isitatimende Sabezindaba Ibheji Yomklomelo

Imibala

Ukuklama

Mayelana ne-Aurora Umsebenzi Oyinhloko: Uhlelo Lokusebenza Lweselula

Aurora wuhlelo lokusebenza lweselula olusekela ukulawulwa kwemizwa kubantu abane-Adhd ngokusebenzisana okusekelwe emculweni. Le nhlangano ihlanganisa ukwakhiwa kohlu lokudlala oluhambisana nesimo, idayari yemizwa eminingi, kanye nezifinyezo zephethini yansuku zonke. Ngalokho okufakwayo edayari kuxhumanisa ingoma yamanje neziqi zamandla emizwa kanye nephuzu elifushane. Umbono wemikhuba uveza ngokugqamile izikhathi ezibalulekile lapho umculo uthuthukise ukugxila noma wehlise ukucindezeleka. Imodi ebonakalayo evumelana nesigqi inikeza izexwayiso zokunyakaza okuthambile ngesikhathi solalela ukusekela ukuzinza.

Ukuqashelwa

Mayelana ne-Umklomelo Wensimbi we-A' Design Award

Aurora Umsebenzi Oyinhloko: Uhlelo Lokusebenza Lweselula iwinile uMklomelo Wensimbi we-A' Design Award, ukwaziswa okuhloniphekile okunikezwa imiklamo emihle ehlangabezana nezidingo zobungcweti nezemboni ezilindelekile ezimpahleni ezihlelwe kahle. Abawinile beNsimbi babonisa ikhono elikhulu, ubungcweti obuphezulu, ukuqonda kochwepheshe namandla okudala abadali babo. Aurora Umsebenzi Oyinhloko: Uhlelo Lokusebenza Lweselula ilindeleke ukuba ibe yinto exatshwa kakhulu, edunyiswayo nethandwayo esebenzayo nenezinto ezintsha. Lo mklamo owinile uMklomelo Wensimbi we-A' Design Award uhlanganisa izindlela ezinhle kakhulu zemboni futhi unezimfanelo zobuchwepheshe ezifanelekile ezihlanganiswe nolwazi nethalente. Aurora Umsebenzi Oyinhloko: Uhlelo Lokusebenza Lweselula iyahlonishwa ngenxa yokucophelela kwayo futhi ihlelelwe ukulethela izinguquko zomgangatho wempilo ezisiza ukwenza umhlaba ube yindawo engcono.

Ngemuva Kokuklama

Iphakheji Yabezindaba

Ama-credit, amalungu eqembu nemininingwane yobuchwepheshe ehlinzekwe ngumklami.

Izici Ezihlukile: 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.
Izilinganiso Nokupakisha: 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.
Amathegi: ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
Ubuchwepheshe Bokukhiqiza: 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.
Inselele Yokudweba: 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.
Ucwaningo: 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.
Ugqozi: 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.
Ubude Bephrojekthi: 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.
Ukuhamba Kokusebenza: 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.
Amapathenti: Copyrights belong to Ping Chen, 2025.
Amalungu Eqembu: Ping Chen
Haowei Zang