Ping Chen nisqap Aurora Primary Function: Kuyuq Antawan Llamkana diseñon

Ping Chen nisqap Aurora Primary Function: Kuyuq Antawan Llamkana diseñonqa Aparina Kamay Atipanakuy T'aqapi 2026 A' Design Award Fierru Premiu nisqap ancha chaniyuq atipaqninmi.

FierruAparina· 2026

Aurora Primary Function: Kuyuq Antawan Llamkana

Ping Chen rurasqa

Mañakuq: Aurora

Aparina T'aqapi A' Design Award Fierru Premiu Atipaq

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Taripasqa Premio Atipaq

#182515 nisqapaq Premio Kayninta Taripay

A' Design Award ukhupi Qhaway Prensa Willakuy Premio Unanchay

Llinphikuna

Diseñomanta

Aurora Primary Function: Kuyuq Antawan Llamkana nisqamanta

Book Text: Aurora nisqaqa huk kuyuq antawan llamkanam, ADHD nisqa unquyniyuq runakunapaq taki rayku rimanakuywan sunqu kawsayta allichaspa yanapan. Kay qhawana ñawpaqpi taki aklllasqakuna paqarichiyta, achka sunqu kawsaymanta qillqana mayt'uta, hinaspa sapa punchaw ima imayna kasqanmanta pisilla willakuykunata huñun. Sapa qillqana yaykuyqa kunan takiwan, sunqu kallpa tinkichiq sirikunawan, hinaspa huk huch'uy qillqawan tinkichin. Kawsay qhaway nisqaqa, ima pachapichus taki yuyaymanayta allichasqanta utaq llakiyta pisiyachisqanta sut'inchan. Takiy kuyuywan tupachisqa qhawana ruway nisqaqa, uyarispa allwila kuyuy unanchakunata quykuspa allin sayanaykipaq yanapasunki.

Riqsichiy

A' Design Award Fierru Premiu nisqamanta

Aurora Primary Function: Kuyuq Antawan Llamkana A' Design Award Fierru Premiu mishak kan, yupaychay, kayta ruray yachak shinallatak industriapak mañaykunata paktachik alli diseñukunaman kun. Fierru mishak kashkakunaka hatun ruray ushayta, hanak yachayta, yachak yuyayta shinallatak ruray kamachiyta rikuchinku. Aurora Primary Function: Kuyuq Antawan Llamkana sinchi yupaychashka, kuyashka shinallatak kuyashka ruray, ruranapak alli shinallatak mushuk yuyaypi kanata munanku. Kay Fierru Premiu japishka diseñuka industriapak ashtawan alli ruraykunata tantachin shinallatak yachaywan shinallatak ushaywan tantashka tekniku ushayta charin. Sinchi ruraymanta Aurora Primary Function: Kuyuq Antawan Llamkana yupaychashka kan shinallatak kawsayta alliyachik ruraykunata kuypak ruray kan, pachata ashtawan alli kachun ruran.

Diseño Qhipanpi

Prensa Kit

Diseñadorpa quska créditos, llamk'aq runakunapas técnico willaykuna.

Sapaq Kayninkunamanta: 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.
Tupukuna & P'istuy: 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.
Etiquetakuna: ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
Ruway Tecnología: 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.
Diseño Sasachakuy: 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.
T'aqwiy: 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.
Kallpachay: 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.
Llamk'ay Pacha: 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.
Purichiy Puriy: 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.
Patentekuna: Copyrights belong to Ping Chen, 2025.
Huñu Runakuna: Ping Chen
Haowei Zang