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Aurora Hana Nui: Polokalamu Kelepona Paʻalima na Ping Chen

ʻO Aurora Hana Nui: Polokalamu Kelepona Paʻalima na Ping Chen he mea lanakila hanohano loa o ka 2026 A' Design Award Hao ma ka Māhele Hoʻokūkū Hoʻolālā Paʻalima, Polokalamu a me Lako Paʻalima.


HaoPaʻalima· 2026

Aurora Hana Nui: Polokalamu Kelepona Paʻalima

na Ping Chen

Mea Kūʻai: Aurora

Mea Lanakila A' Design Award Hao ma ka Māhele Paʻalima

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Mea Lanakila i Hōʻoia ʻIa

Hōʻoia i ke Kūlana Makana no #182515

Nā Waihoʻoluʻu

Ka Hoʻolālā

E Pili Ana iā Aurora Hana Nui: Polokalamu Kelepona Paʻalima

ʻO Aurora he polokalamu kelepona paʻalima e kākoʻo ana i ka hoʻoponopono naʻau no ka poʻe me ka ADHD ma o ka launa pū ʻana e pili ana i ke mele. Hoʻohui ka ʻili launa i ka hana papa mele e kūlike ana me ke kūlana o ka naʻau, he puke moʻolelo naʻau lehulehu, a me nā hōʻuluʻulu pakuhi o kēlā me kēia lā. Hoʻopili kēlā me kēia komo puke moʻolelo i ke mele o kēia manawa me nā paheʻe ikaika naʻau a me kahi memo pōkole. Hōʻike ka ʻike ʻano i nā manawa nui i hoʻomaikaʻi ai ke mele i ka noʻonoʻo a i hōʻemi paha i ke koʻikoʻi. Hāʻawi kahi ʻano ʻike i hoʻopaʻa pū ʻia me ka mele i nā hōʻailona neʻe akahai i ka wā e hoʻolohe ai e kākoʻo i ka hoʻokūpaʻa ʻana.

Ka Hoʻomaikai

E Pili Ana i ka A' Design Award Hao

Ua lanakila ka hoʻolālā Aurora Hana Nui: Polokalamu Kelepona Paʻalima i ka A' Design Award Hao, he ʻike hoʻohanohano i hāʻawi ʻia i nā hoʻolālā maikaʻi e hoʻokō ana i nā koi ʻoihana a ʻoihana hana i manaʻo ʻia mai nā mea hoʻokumu i hana maikaʻi ʻia. Hōʻike nā lanakila Hao i ka mākau nui, ka loea kiʻekiʻe, ka ʻike akamai a me ka hiki hana noʻeau o ka poʻe i hana iā lākou. Manaʻo ʻia ʻo ka hoʻolālā Aurora Hana Nui: Polokalamu Kelepona Paʻalima he mea hoʻokumu i mahalo nui ʻia, hoʻohiwahiwa ʻia a aloha ʻia e pono a hou. ʻO kēia hoʻolālā i lanakila i ka A' Design Award Hao e hoʻohui ana i nā hana maikaʻi loa o ka ʻoihana a loaʻa nā ʻano ʻenehana mākaukau i hui pū ʻia me ka ʻike hana a me ka makakoho. Mahalo ʻia ka hoʻolālā Aurora Hana Nui: Polokalamu Kelepona Paʻalima no kona nānā pono a ua hoʻolālā ʻia e hāʻawi i nā hoʻomaikaʻi ola e kōkua ai i ka hana ʻana i ka honua i wahi maikaʻi aku.

Ma Hope o ka Hoʻolālā

ʻEke Nūhou

Nā hōʻoia, nā lālā hui a me nā kikoʻī ʻenehana i hāʻawi ʻia e ka mea hoʻolālā.

Nā ʻAno Kūʻokoʻa
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.
Nā Ana a me ka Hoʻopili
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.
Nā Lepili
ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
ʻEnehana Hana
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.
Pilikia Hoʻolālā
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.
Noiʻi
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.
Hoʻoulu Manaʻo
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.
Ka Lōʻihi o ka Papahana
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.
Kaʻina Hana
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.
Nā Palapala Kuleana
Copyrights belong to Ping Chen, 2025.
Nā Lālā Hui
Ping Chen
Haowei Zang

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