Pengu Buddy سیستم ردیابی سلامت حیوانات by Here Design Studio is a highly esteemed winner of the very prestigious 2025 جایزه آهنی A' Design Award in طراحی اجتماعی Competition Category.
آهناجتماعی· 2025
Pengu Buddy سیستم ردیابی سلامت حیوانات
Client: Georgia Aquarium
جایزه آهنی A' Design Award Winner in اجتماعی Category
Verified Award Winner
Verify Award Status for #163059The Design
About Pengu Buddy سیستم ردیابی سلامت حیوانات
پنگو بادی یک سیستم ردیابی سلامت حیوانات است که برای زیستگاه پنگوئن‌ها طراحی شده است. این سیستم یک ربات زیرآبی را با یک اپلیکیشن موبایل ترکیب می‌کند. ربات به‌عنوان یک اسباب‌بازی برای پنگوئن‌ها عمل می‌کند و از طریق بازی‌هایی که بازدیدکنندگان از طریق اپلیکیشن کنترل می‌کنند، آن‌ها را به فعالیت تشویق می‌کند. در حین بازی، ربات داده‌های تصویری و صوتی را جمع‌آوری کرده و آن‌ها را به یک داشبورد ارسال می‌کند که توسط نگهبانان برای پایش سلامت مورد استفاده قرار می‌گیرد. این اپلیکیشن همچنین محتوای آموزشی درباره پنگوئن‌ها و گزینه‌هایی برای حمایت از حفاظت از این گونه از طریق کمک‌های مالی و هدایا ارائه می‌دهد.
The Recognition
About the جایزه آهنی A' Design Award
Pengu Buddy سیستم ردیابی سلامت حیوانات برنده جایزه آهنی A' Design Award است، شناختی معتبر که به طراحی‌های خوبی اعطا می‌شود که الزامات حرفه‌ای و صنعتی مورد انتظار از آفرینش‌های خوب طراحی‌شده را برآورده می‌کنند. برندگان آهن مهارت بزرگ، تخصص بالا، درک کارشناسانه و ظرفیت خلاقانه سازندگان خود را نشان می‌دهند. از Pengu Buddy سیستم ردیابی سلامت حیوانات انتظار می‌رود آفرینشی بسیار ارجمند، ستوده و دوست‌داشتنی باشد که کاربردی و نوآورانه است. این طراحی برنده جایزه آهنی A' Design Award بهترین رویه‌های صنعت را یکپارچه می‌کند و ویژگی‌های فنی شایسته‌ای دارد که با دانش عملی و استعداد پیوند خورده است. Pengu Buddy سیستم ردیابی سلامت حیوانات به سبب دقتش محترم است و برای عرضه بهبودهای کیفیت زندگی که به بهتر شدن جهان کمک می‌کنند طراحی شده است.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- 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.
- Dimensions & Packaging
- The mobile app interface was designed with iOS guidelines. The underwater robot dimensions: Width 640 mm x Depth 120 mm x Height 500 mm
- Tags
- Animal Computer Interaction, Health Monitoring, Interactive Robot, Penguin Conservation, Education, Visitor Engagement, Mobile App
- Production Technology
- 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.
- Design Challenge
- 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. - Research
- 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.
- Inspiration
- 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. - Project Duration
- The project started in January 2023 and completed concept phase on February 2024 in Atlanta.
- Operation Flow
- 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.
- Patents
- N/A
- Team Members
- UX Designer: Yuwei Li
UI Designer: Xinyue Ren, Yuchuan Yu
Industrial Designer: Han Huang, Youyang Hao - Image Credits
- Melody Moore Jackson, Georgia Tech ACI Lab
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