Race Data AI シムレーサー向けテレメトリー by Cansu Cetin is a highly esteemed winner of the very prestigious 2025 A' Design Award 鉄賞 in インターフェース・インタラクション・UXデザイン Competition Category.
鉄インターフェース· 2025
Race Data AI シムレーサー向けテレメトリー
by Cansu Cetin
Client: Driven AVS
A' Design Award 鉄賞 Winner in インターフェース Category
Verified Award Winner
Verify Award Status for #167411The Design
About Race Data AI シムレーサー向けテレメトリー
このプロジェクトは、バーチャルと実世界のレースを橋渡しする、ユーザーフレンドリーなテレメトリーツールを作成することで、シムレーシング分析を再定義します。インタラクティブなトラックマップ、カスタマイズ可能なダッシュボード、ラップ比較機能により、複雑なデータを簡素化します。シムレーサーからの反復的なフィードバックを基に開発されたこのデザインは、パフォーマンスを最適化するための、アクセスしやすくも詳細なインサイトを提供します。革新性と使いやすさを組み合わせることで、レーサーが継続的に向上し、レーシングデータをより深く理解できるよう支援します。
The Recognition
About the A' Design Award 鉄賞
Race Data AI シムレーサー向けテレメトリーは、よく設計された創造物に期待される専門的・産業的要件を満たす優れたデザインに授与される、権威ある評価である A' Design Award 鉄賞の受賞作品です。鉄賞の受賞作品は、制作者の高い技量、高度な専門性、専門家としての理解、創造的な能力を示しています。Race Data AI シムレーサー向けテレメトリーは、高く評価され、称賛され、愛される、実用的で革新的な創造物であることが期待されます。この A' Design Award 鉄賞を受賞したデザインは、業界のベストプラクティスを統合し、ノウハウと才能に結びついた有能な技術的特性を備えています。Race Data AI シムレーサー向けテレメトリーは、その徹底ぶりで尊敬され、世界をより良い場所にするための生活の質の向上をもたらすよう設計されています。
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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