Aurora Galuega Autu: Polokalama Telefoni Feavea'i e Ping Chen

O le mamanu Aurora Galuega Autu: Polokalama Telefoni Feavea'i e Ping Chen o se manumalo maualuga tele o le fa'ailoga mamalu 2026 A' Design Award Uʻamea i le Vaega Tauva Mamanu Fe'avea'i.

UʻameaFe'avea'i· 2026

Aurora Galuega Autu: Polokalama Telefoni Feavea'i

na mamanuina e Ping Chen

Tagata Fa'atau: Aurora

Manumalo o le A' Design Award Uʻamea i le Vaega Fe'avea'i

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Manumalo Fa'ailoga Fa'amaonia

Fa'amaonia le Tulaga o le Fa'ailoga mo #182515

Va'ai i le A' Design Award Fa'asalalauga Pailesi o le Fa'ailoga

Lanu

Le Mamanu

E Uiga ia Aurora Galuega Autu: Polokalama Telefoni Feavea'i

Tusitusiga Tusi: O Aurora o se polokalama telefoni feavea'i e lagolago ai le pulea o lagona mo tagata e iai le Adhd e ala i fegalegaleaiga e fa'avae i musika. E tu'ufa'atasia e le initafesi le faia o lisi musika e fetaui ma tulaga o lagona, o se api talaaga e tele ona lagona, ma aotelega o mamanu o aso ta'itasi. O api talaaga ta'itasi e fa'afeso'ota'i ai le pese o lo'o ta nei ma fa'agasologa e fua ai le malosi o lagona ma se fa'amatalaga pupuu. O le va'aiga o le tulaga o lo'o alualu i luma e fa'amaonia ai taimi taua na fa'aleleia ai e musika le taula'i atu pe fa'aitiitia ai le mafatia. O se faiga va'aia e fa'atasi ma le pao e maua ai fa'ailoga gaioiga malu i le taimi o le fa'alogologo e lagolago ai le fa'atumauina.

Le Fa'ailogaina

E Uiga i le A' Design Award Uʻamea

O le A' Design Award Uʻamea na manumalo ai Aurora Galuega Autu: Polokalama Telefoni Feavea'i, o se faamaoniga mamalu e tuuina atu i mamanu lelei e faataunuu ai manaʻoga faapolofesa ma pisinisi e faamoemoeina mai galuega ua mamanuina lelei. O ē manumalo i le Uʻamea e faaalia ai le tomai tele, le faapitoa maualuga, le malamalama o tagata poto ma le mafai fatufatuaʻi o ē na faia. E faamoemoeina Aurora Galuega Autu: Polokalama Telefoni Feavea'i e avea ma mea ua matuā vivii, mataʻina ma pelepelea e aogā ma fou. O lenei mamanu na manumalo i le A' Design Award Uʻamea e tuufaatasia ai faiga sili o le pisinisi ma e iai uiga faatekonolosi mafai ua fesoʻotaʻi ma le poto ma le taleni. Ona o lona faatuatuaina, e tatau ai Aurora Galuega Autu: Polokalama Telefoni Feavea'i ona faaaloalogia ma ua mamanuina e tuuina mai ai faaleleiga o le olaga e fesoasoani e faia ai e le lalolagi se nofoaga e sili atu ona lelei.

I Tua o le Mamanu

Pepa Fa'asalalau

Fa'amaoniaga, sui o le 'au ma fa'amatalaga fa'atekinisi na saunia e le tagata mamanu.

Uiga Fa'apitoa: 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.
Fua & Fa'apipi'i: 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.
Fa'ailoga: ADHD support, emotional regulation, mood based playlists, music journaling, rhythm synced visuals, neurodiverse wellness, focus support, calm support, behavior design
Tekonolosi Gaosiga: 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.
Lu'itau o le Mamanu: 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.
Su'esu'ega: 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.
Fa'aosofia: 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.
Umi o le Poloketi: 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.
Fa'agasologa o Galuega: 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.
Pateni: Copyrights belong to Ping Chen, 2025.
Sui o le 'Au: Ping Chen
Haowei Zang