Pengu Buddy Djurhälsospårningssystem by Here Design Studio is a highly esteemed winner of the very prestigious 2025 A' Design Award i Järn in Social design Competition Category.
JärnSocial· 2025
Pengu Buddy Djurhälsospårningssystem
Client: Georgia Aquarium
A' Design Award i Järn Winner in Social Category
Verified Award Winner
Verify Award Status for #163059The Design
About Pengu Buddy Djurhälsospårningssystem
Pengu Buddy är ett djurhälsospårningssystem utformat för en pingvinmiljö. Systemet kombinerar en undervattensrobot med en mobilapplikation. Roboten fungerar som en leksak för pingviner och uppmuntrar till aktivitet genom spel som besökare styr via applikationen. Under leken samlar roboten in visuell och akustisk data och skickar informationen till en instrumentpanel som skötare använder för hälsoövervakning. Applikationen erbjuder även pedagogiskt innehåll om pingviner samt möjligheter att stödja bevarandearbete genom donationer och gåvor.
The Recognition
About the A' Design Award i Järn
Pengu Buddy Djurhälsospårningssystem är vinnare av A' Design Award i Järn, ett prestigefyllt erkännande som tilldelas bra designverk som uppfyller de professionella och industriella krav som förväntas av välgjorda skapelser. Järnvinnare visar stor skicklighet, hög specialisering, expertförståelse och skaparnas kreativa förmåga. Pengu Buddy Djurhälsospårningssystem förväntas vara en högt skattad, beundrad och älskad skapelse som är praktisk och innovativ. Detta vinnande verk i A' Design Award i Järn integrerar branschens bästa praxis och har kompetenta tekniska egenskaper kopplade till kunnande och talang. Pengu Buddy Djurhälsospårningssystem respekteras för sin grundlighet och är utformat för att åstadkomma förbättringar av livskvaliteten som hjälper till att göra världen till en bättre plats.
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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