Aurora Tawuri tagejdant: Asnas aziraz sɣur Ping Chen

Aurora Tawuri tagejdant: Asnas aziraz sɣur Ping Chen d anerbaz yettwaqadren meqqren n 2026 Tarbaḥt A' Design Award n Uzzal deg Taggayt n Tnaflit n Afeṣṣel n Tetiknulujiyin Tizirawin, Isnasen d Useɣẓan.

UzzalAziraw· 2026

Aurora Tawuri tagejdant: Asnas aziraz

sɣur Ping Chen

Amsaɣ: Aurora

Anerbaz n Tarbaḥt A' Design Award n Uzzal deg Taggayt n Aziraw

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Anerbaz n Urraz Yettwasenqden

Senqed Addad n Urraz i #182515

Wali deg A' Design Award Tabḍert n tɣamsa Tanecḍa n wammud

Initen

Afeṣṣel

Ɣef Aurora Tawuri tagejdant: Asnas aziraz

Aḍris n udlis: Aurora d asnas aziraz i yettallalen aseɣɛeb n umḥir i yemdanen yesɛan Adhd s tik;ci n umyigew i yebnan ɣef uẓawan. Agrudem yesseddukul asirew n umuɣ n tiɣmiwin yemṣaden d waddad, aɣmis n waṭas n imnaden, akked yiɣbula n tjeṛṛumin n yal ass. Yal anekcum n uɣmis yeqqen tiɣawsa tamirant s iẓlimen n teẓmert n umnad d tezmilt tawezzlant. Timeẓri n ubrid tesbanay-d kra n tegnatin tigejdanin anida uẓawan yessegrew aẓerray neɣ yesnaqes anezgum. Askar uẓliw yemṣaden d teɣmert yettak imewwaten n unhar uleyyin lawan n usečču akken ad yallel asered.

Asmekti

Ɣef Tarbaḥt A' Design Award n Uzzal

Aurora Tawuri tagejdant: Asnas aziraz d amerbaḥ n Tarbaḥt A' Design Award n Uzzal, tagmat i yisnulfa yelhan i yemmalen ayen i d-ttrajun yimdanen seg yisnulfa yelhan. Imerbaḥen n Uzzal ttbanen d tmusni, tmahilt d tazmert n yimahilen-nsen. Aurora Tawuri tagejdant: Asnas aziraz ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. Isnulfa-a ttwaɛezzen imi ɛawnen deg tudert, rran ddunit ugar n lxir.

Deffir n ufeṣṣel

Tagrurt n tɣamsa

Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.

Taɣara Tasuft: 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.
Tigejdiwin & Akemmus: 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.
Tibzimin: ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
Tasnakta n Ufares: 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.
Asewḥel n Usnulfu: 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.
Anadi: 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.
Aseḥbiber: 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.
Tanzagt n Usenfar: 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.
Tanila n Umahil: 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.
Ibrivan: Copyrights belong to Ping Chen, 2025.
Igmamen n Terbaɛt: Ping Chen
Haowei Zang