Race Data AI ቴሌሜትሪ ንሲም ሬሰርስ by Cansu Cetin is a highly esteemed winner of the very prestigious 2025 ናይ ሓጺን ሽልማት A' Design Award in ንድፊ ኢንተርፌስ፣ ምትእስሳርን ተመኲሮ ተጠቃምን Competition Category.
ሓጺንኢንተርፌስ· 2025
Race Data AI ቴሌሜትሪ ንሲም ሬሰርስ
by Cansu Cetin
Client: Driven AVS
ናይ ሓጺን ሽልማት A' Design Award Winner in ኢንተርፌስ Category
Verified Award Winner
Verify Award Status for #167411The Design
About Race Data AI ቴሌሜትሪ ንሲም ሬሰርስ
እዚ ፕሮጀክት'ዚ ምስላዊን ሓቀኛ ዓለምን ውድድር ዝራኸብ ንተጠቃሚ ምቹእ ናይ ቴሌሜትሪ መሳርሒ ብምፍጣር፣ ንሲም ሬሲንግ ትንተና ብሓድሽ መንገዲ የቕርቦ። ተራ ተግባራዊ ናይ መስመር ካርታታት፣ ብቐሊሉ ዝቕየር ዳሽቦርድን ናይ ዙርያ ምንጽጻርን ብምጥቃም ዝተሓላለኸ ዳታ የቃልል። ካብ ሲም ሬሰርስ ተደጋጋሚ ርእይቶ ብምውሳድ ዝተዳለወ እዚ ዲዛይን'ዚ፣ ኣፈጻጽማ ንምምሕያሽ ርኹብ እንተኾነ ዝርዝር ኣስተውዕሎታት ይህብ። ምህዞን ተጠቃምነትን ብምውህሃድ፣ ሬሰርስ ናይ ውድድሮም ዳታ ብዝበለጸ ንምርዳእን ብቐጻሊ ንምምሕያሽን የኽእሎም።
The Recognition
About the ናይ ሓጺን ሽልማት A' Design Award
Race Data AI ቴሌሜትሪ ንሲም ሬሰርስ ናይ ሓጺን ሽልማት A' Design Award ዝዓወተ እዩ፣ ካብ ጽቡቕ ዝተዳለዉ ፍጥረታት ዝጽበዩ ሞያውን ኢንዱስትሪኣውን ጠለባት ንዝመላኡ ጽቡቓት ዲዛይናት ዝወሃብ ክቡር ኣፍልጦ። ዘዓወቱ ሓጺን ዓቢ ክእለት፣ ልዑል ፍሉይነት፣ ክኢላዊ ርድኢትን ፈጠራዊ ዓቕምን ፈጣርዮም የርእዩ። Race Data AI ቴሌሜትሪ ንሲም ሬሰርስ ብብዙሕ ዝተመነየ፣ ዝደነቐን ዝፈተዎን፣ ተግባራውን ሓድሽን ፍጥረት ክኾን ይጽበ። እዚ ዝዓወተ ዲዛይን ናይ ሓጺን ሽልማት A' Design Award ንዝበለጹ ልምድታት ኢንዱስትሪ የጣምር፣ ምስ ፍልጠትን ተውህቦን ዝተኣሳሰሩ ብቑዓት ቴክኒካውያን ባህርያት ድማ ኣለዎ። Race Data AI ቴሌሜትሪ ንሲም ሬሰርስ ብጥንቃቐኡ ይኽበር፣ ንዓለም ዝሓሸ ቦታ ክትኸውን ዝሕግዙ ምምሕያሻት መዓርግ ህይወት ንምቕራብ ድማ ዝተዳለወ እዩ።
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- This design transforms sim racing analysis with intuitive data visualization and advanced telemetry tools, providing racers with actionable insights. Its user-focused approach ensures accessibility while maintaining technical depth, featuring interactive track maps, customizable dashboards, and seamless lap comparisons. Personalized analysis tools and community-driven feedback make it a standout solution for improving performance and bridging the gap between virtual and real racing.
- Dimensions & Packaging
- The design was developed with a focus on responsiveness, ensuring compatibility across various screen sizes. The layout adapts seamlessly from 1024x768px to 1792x1024px for larger displays. Interactive elements were optimized for touch and mouse input, with clickable areas sized for ease of use across devices. Data visualization tools were engineered for high performance, processing telemetry data in real-time with minimal latency, ensuring smooth user experience even with large datasets.
- Tags
- Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
- Production Technology
- The design was developed using an iterative UX/UI process, emphasizing user feedback from sim racers. Wireframes and prototypes were created to test and refine key functionalities, such as telemetry data visualization and lap comparisons. Agile methodology was employed to allow for continuous improvement based on user testing. A modular design approach ensured flexibility, while data-driven insights guided the creation of interactive features that prioritize performance optimization and ease of use.
- Design Challenge
- The hardest part of this design was simplifying complex telemetry data without losing essential details. The challenge lay in balancing technical depth with user accessibility, as racers needed both detailed insights and easy navigation. Historical perspectives of traditional racing tools influenced the design, but new technology offered opportunities to innovate. External factors, such as varying levels of user expertise and limited research on specific racing behaviors, also presented obstacles, requiring extensive user feedback to refine the product.
- Research
- The research combined qualitative and user-centered studies to understand sim racers' needs and behaviors. The goal was to simplify telemetry data presentation to enhance performance. Insights were gathered through interviews, surveys, and online community observations, involving both casual and competitive sim racers. Results revealed a preference for simplified, interactive interfaces, informing a design that improves performance and user experience in virtual and real-world racing.
- Inspiration
- The project was inspired by the challenges sim racers face in translating virtual performance to real-world racing. Recognizing the complexity of existing telemetry tools, the goal was to simplify data analysis while enhancing usability. Drawing from user interviews, market research, and technical studies, the design combines intuitive features with a user-centered approach to help racers optimize performance and make the most of limited practice time.
- Project Duration
- The project started in May 2024 in Turkey and finished in December 2024 in Canada.
- Operation Flow
- This design helps sim racers improve their performance by providing easy-to-understand data about their racing. Users can view their racing line, speed, and other key information to see where they can improve. By comparing laps, racers can find areas to optimize, such as braking and acceleration points. The design allows for simple interactions like clicking on turns to get more detailed feedback, making it easier to focus on key areas for improvement and achieve better results over time.
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