Pengu Buddy Sistèm Swiv Sante Bèt pa Here Design Studio

Dizayn Pengu Buddy Sistèm Swiv Sante Bèt pa Here Design Studio se yon gayan ki gen anpil estim nan konpetisyon trè prestijye 2025 A' Design Award Fè nan Kategori Konpetisyon Sosyal.

FèSosyal· 2025

Pengu Buddy Sistèm Swiv Sante Bèt

pa Here Design Studio

Kliyan: Georgia Aquarium

Gayan A' Design Award Fè nan Kategori Sosyal

35,970

Gayan Pri Verifye

Verifye Estati Pri pou #163059

Gade sou A' Design Award Kominike Laprès Badj Prim

Koulè

Konsepsyon an

Konsènan Pengu Buddy Sistèm Swiv Sante Bèt

Pengu Buddy se yon sistèm swiv sante bèt ki fèt pou yon abita pengwen. Sistèm nan konbine yon robo anba dlo ak yon aplikasyon mobil. Robo a sèvi kòm yon jwèt pou pengwen yo epi li ankouraje aktivite atravè jwèt vizitè yo kontwole nan aplikasyon an. Pandan y ap jwe, robo a kolekte done vizyèl ak akoustik epi voye done yo nan yon tablo bò kote gadyen yo itilize pou siveye sante bèt yo. Aplikasyon an tou ofri kontni edikatif sou pengwen yo ansanm ak opsyon pou soutni konsèvasyon atravè don ak kado.

Rekonesans lan

Konsènan A' Design Award Fè

Pengu Buddy Sistèm Swiv Sante Bèt se yon ganyan A' Design Award Fè, yon rekonesans ki gen prestij yo bay bon design ki satisfè egzijans pwofesyonèl ak endistriyèl yo atann de kreyasyon ki byen fèt. Ganyan Fè yo montre gwo konpetans, espesyalizasyon wo, konpreyansyon ekspè ak kapasite kreyatif kreyatè yo. Yo atann Pengu Buddy Sistèm Swiv Sante Bèt pou se yon kreyasyon anpil moun estime, admire e renmen ki pratik e inovatè. Design sa a ki ganyen A' Design Award Fè entegre pi bon pratik sektè a e li gen karakteristik teknik konpetan ki lye ak konnesans pratik ak talan. Yo respekte Pengu Buddy Sistèm Swiv Sante Bèt pou jèntan li e li fèt pou bay amelyorasyon kalite lavi ki ede fè mond lan vin yon pi bon kote.

Dèyè Konsepsyon an

Dosye Laprès

Kredi, manm ekip ak detay teknik konseptè a bay.

Pwopriyete Inik: PenguBuddy is an interactive health data tracking system combining technology and wildlife care. It features an underwater robot that acts as both a playful toy for penguins and a data collection tool for keepers. The companion mobile app lets visitors control the robot, enjoy immersive interactions, access educational content, and support conservation through donations and gifts. This innovative solution drives positive social impact in wildlife conservation and public engagement.
Dimansyon & Anbalaj: The mobile app interface was designed with iOS guidelines. The underwater robot dimensions: Width 640 mm x Depth 120 mm x Height 500 mm
Etikèt: Animal Computer Interaction, Health Monitoring, Interactive Robot, Penguin Conservation, Education, Visitor Engagement, Mobile App
Teknoloji Pwodiksyon: We used Figma and Adobe After Effects to design UI interfaces and also leveraged Rhino to create and render the underwater robot 3D model. Beyond that, we also tested some sensor hardware in the Georgia Institute of Technology ACI Lab.
Defi Dizayn: The central design challenge involved harmonizing penguin welfare with captivating visitor interaction, navigating obstacles such as robot durability, online data processing, and ethical animal engagement. Solutions prioritized two key areas: meticulous material testing and ethical design, ensuring robot safety and scientifically informed movement patterns for responsible monitoring. And user-centric interaction design, featuring an intuitive mobile application with gamification and educational content to transform visitors from passive observers to active participants in penguin welfare.
The first is the rigorous material testing and ethical design. The underwater robot materials were extensively tested for safety and durability. The movement patterns were carefully designed to mimic animals in the African penguin colony and were informed by research scientists to guarantee ethical monitoring practices.

On the other hand, we conducted user-centric interaction design. The mobile application prioritized intuitive controls, catering to a diverse user base. Gamification and educational content were integrated to foster active, empathetic engagement, transitioning visitors from passive observers to active participants in penguin welfare.
Rechèch: This research involved multiple research approaches, including field study, 30 hours of observation, 8 interviews with keepers and visitors, and prototype testing with 12 participants. Observation helped us understand interactions between visitors, keepers, and penguins. Interviews revealed pain points and expectations. We explored existing health tracking technologies and developed core design concepts using environment enrichment, robot interaction, and AI data insights. User feedback from prototype testing guided our design improvements.
Enspirasyon: Zoo animals, including penguins, often experience mood and behavior changes due to environmental and habitual shifts, leading to depression, reduced appetite, and decreased activity. However, the existing technology lacks effective data tracking for individual penguins.

The design solution draws inspiration from penguins' natural play behaviors and environmental enrichment strategies. By leveraging interactive robotic technology, we created a system that tracks penguin activity data and fosters engaging interactions between penguins and humans.
Dire Pwojè: The project started in January 2023 and completed concept phase on February 2024 in Atlanta.
Fliks Operasyon: This project connects penguins, visitors, and keepers through an interactive system. Visitors control the robot via the app, creating playful interactions with penguins. The robot collects visual and acoustic data about penguins' activity and sends it to the keeper's dashboard for health monitoring. The app further enriches the visitor experience through educational content and conservation content, facilitating a meaningful connection between human interaction and scientific observation.
Patant: N/A
Manm Ekip: UX Designer: Yuwei Li
UI Designer: Xinyue Ren, Yuchuan Yu
Industrial Designer: Han Huang, Youyang Hao
Kredi Imaj: Melody Moore Jackson, Georgia Tech ACI Lab